diff --git a/Gemfile.lock b/Gemfile.lock deleted file mode 100644 index c4a32d9..0000000 --- a/Gemfile.lock +++ /dev/null @@ -1,92 +0,0 @@ -GIT - remote: git@github.com:eventmachine/eventmachine - revision: 9cb13a8a62363df5ebcc414169a3deb2c1608528 - tag: v1.2.7 - specs: - eventmachine (1.2.7) - -GEM - remote: https://rubygems.org/ - specs: - addressable (2.7.0) - public_suffix (>= 2.0.2, < 5.0) - colorator (1.1.0) - concurrent-ruby (1.1.8) - em-websocket (0.5.2) - eventmachine (>= 0.12.9) - http_parser.rb (~> 0.6.0) - ffi (1.15.0-x64-mingw32) - forwardable-extended (2.6.0) - http_parser.rb (0.6.0) - i18n (1.8.10) - concurrent-ruby (~> 1.0) - jekyll (4.2.0) - addressable (~> 2.4) - colorator (~> 1.0) - em-websocket (~> 0.5) - i18n (~> 1.0) - jekyll-sass-converter (~> 2.0) - jekyll-watch (~> 2.0) - kramdown (~> 2.3) - kramdown-parser-gfm (~> 1.0) - liquid (~> 4.0) - mercenary (~> 0.4.0) - pathutil (~> 0.9) - rouge (~> 3.0) - safe_yaml (~> 1.0) - terminal-table (~> 2.0) - jekyll-feed (0.15.1) - jekyll (>= 3.7, < 5.0) - jekyll-redirect-from (0.16.0) - jekyll (>= 3.3, < 5.0) - jekyll-sass-converter (2.1.0) - sassc (> 2.0.1, < 3.0) - jekyll-sitemap (1.4.0) - jekyll (>= 3.7, < 5.0) - jekyll-watch (2.2.1) - listen (~> 3.0) - kramdown (2.3.1) - rexml - kramdown-parser-gfm (1.1.0) - kramdown (~> 2.0) - liquid (4.0.3) - listen (3.5.1) - rb-fsevent (~> 0.10, >= 0.10.3) - rb-inotify (~> 0.9, >= 0.9.10) - mercenary (0.4.0) - pathutil (0.16.2) - forwardable-extended (~> 2.6) - public_suffix (4.0.6) - rb-fsevent (0.10.4) - rb-inotify (0.10.1) - ffi (~> 1.0) - rexml (3.2.5) - rouge (3.26.0) - safe_yaml (1.0.5) - sassc (2.4.0-x64-mingw32) - ffi (~> 1.9) - terminal-table (2.0.0) - unicode-display_width (~> 1.1, >= 1.1.1) - thread_safe (0.3.6) - tzinfo (1.2.9) - thread_safe (~> 0.1) - tzinfo-data (1.2021.1) - tzinfo (>= 1.0.0) - unicode-display_width (1.7.0) - wdm (0.1.1) - -PLATFORMS - x64-mingw32 - -DEPENDENCIES - eventmachine (= 1.2.7)! - jekyll - jekyll-feed - jekyll-redirect-from - jekyll-sitemap - tzinfo (~> 1.2) - tzinfo-data - wdm (~> 0.1.1) - -BUNDLED WITH - 2.2.16 diff --git a/_data/citations.yaml b/_data/citations.yaml index 2f4dec0..cb143b5 100644 --- a/_data/citations.yaml +++ b/_data/citations.yaml @@ -1,37 +1,162 @@ # GENERATED AUTOMATICALLY, DO NOT EDIT -- id: https://arxiv.org/abs/2508.05800 +- id: 10.1038/s44320-026-00197-7 title: Progress and new challenges in image-based profiling authors: - Erik Serrano - John Peters - Jesko Wagner - - Rebecca E. Graham + - Rebecca E Graham - Zhenghao Chen - - Brian Feng + - Brian Y Feng - Gisele Miranda - - Alexandr A. Kalinin + - Alexandr A Kalinin - Loan Vulliard - Jenna Tomkinson - Cameron Mattson - - Michael J. Lippincott + - Michael J Lippincott - Ziqi Kang - Divya Sitani - Dave Bunten - Srijit Seal - - Neil O. Carragher - - Anne E. Carpenter + - Neil O Carragher + - Anne E Carpenter - Shantanu Singh - - Paula A. Marin Zapata - - Juan C. Caicedo - - Gregory P. Way - publisher: arXiv - date: '2025-08-07' - link: http://arxiv.org/abs/2508.05800 - image: https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-one-color-white.svg + - Paula A Marin Zapata + - Juan C Caicedo + - Gregory P Way + publisher: Molecular Systems Biology + date: '2026-03-27' + link: https://doi.org/hbxfz5 tags: - image-based profiling - review + image: https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs44320-026-00197-7/MediaObjects/44320_2026_197_Fig1_HTML.png?as=webp +- id: 10.64898/2026.04.15.718737 + title: Single-cell hit calling in high-content imaging screens with Buscar + authors: + - Erik Serrano + - Wei-shan Li + - Gregory Way + publisher: openRxiv + date: '2026-04-19' + link: https://doi.org/hb35zs + tags: + - software + - hit calling + - high-content screening + - single-cell + image: https://raw.githubusercontent.com/WayScience/buscar/main/logo/just-icon.png + extra-links: + - type: source + link: https://github.com/WayScience/Buscar + text: GitHub +- id: 10.1101/2025.11.14.688518 + title: Characterizing the landscape of gene process dependencies in cancer + authors: + - Julia B. Curd + - Gregory P. Way + publisher: openRxiv + date: '2025-11-16' + link: https://doi.org/hb35zt + tags: + - cancer + - gene dependencies + - CRISPR + extra-links: + - type: source + link: https://github.com/WayScience/gene_dependency_representations + text: Analysis code +- id: 10.1101/2025.10.23.684203 + title: High-content live-cell time-lapse imaging predicts cells about to die via + apoptosis + authors: + - Michael J. Lippincott + - Jenna Tomkinson + - Ibrahim Bilem + - Mahomi Suzuki + - Akiko Nakde + - Toshiaki Endou + - Simon Mathien + - Felix Lavoie-Perusse + - "Carla Basualto-Alarc\xF3n" + - Gregory P. Way + publisher: openRxiv + date: '2025-10-24' + link: https://doi.org/hb35zv + tags: + - live-cell imaging + - apoptosis + - cell death + - time-lapse +- id: 10.1101/2025.10.14.682427 + title: Stellar quality control for single-cell image-based profiling with coSMicQC + authors: + - Jenna Tomkinson + - Dave Bunten + - Gregory P. Way + publisher: openRxiv + date: '2025-10-15' + link: https://doi.org/hb35zw + tags: + - software + - quality control + - single-cell + - image-based profiling + extra-links: + - type: source + link: https://github.com/WayScience/coSMicQC + text: GitHub + image: https://raw.githubusercontent.com/cytomining/cosmicqc/main/media/logo/just-icon.png +- id: 10.1016/j.patter.2026.101514 + title: Scalable data harmonization for single-cell image-based profiling with CytoTable + authors: + - Dave Bunten + - Jenna Tomkinson + - Erik Serrano + - Michael J. Lippincott + - Kenneth I. Brewer + - Vince Rubinetti + - Faisal Alquaddoomi + - Gregory P. Way + publisher: Patterns + date: '2026-05-01' + link: https://doi.org/hbvg3p + image: https://raw.githubusercontent.com/cytomining/cytotable/master/logo/just-icon.png + tags: + - software + - image-based profiling + - single-cell + - data harmonization + extra-links: + - type: source + link: https://github.com/cytomining/CytoTable + text: GitHub +- id: 10.1038/s41467-025-61547-x + title: Combining phenomics with transcriptomics reveals cell-type-specific morphological + and molecular signatures of the 22q11.2 deletion + authors: + - Matthew Tegtmeyer + - Dhara Liyanage + - Yu Han + - Kathryn B. Hebert + - Ruifan Pei + - Gregory P. Way + - Pearl V. Ryder + - Derek Hawes + - Callum Tromans-Coia + - Beth A. Cimini + - Anne E. Carpenter + - Shantanu Singh + - Ralda Nehme + publisher: Nature Communications + date: '2025-07-09' + link: https://doi.org/hb35zx + tags: + - cell morphology + - transcriptomics + - 22q11.2 + - phenotyping - id: 10.1161/CIRCULATIONAHA.124.071956 title: Cell Painting and Machine Learning Distinguish Fibroblasts From Nonfailing and Failing Human Hearts @@ -305,34 +430,7 @@ - cell painting - data integration - cell morphology -- id: 10.1101/2024.04.01.587631 - title: A versatile information retrieval framework for evaluating profile strength - and similarity - authors: - - Alexandr A. Kalinin - - John Arevalo - - Loan Vulliard - - Erik Serrano - - Hillary Tsang - - Michael Bornholdt - - Bartek Rajwa - - Anne E. Carpenter - - Gregory P. Way - - Shantanu Singh - publisher: Cold Spring Harbor Laboratory - date: '2024-04-02' - link: https://doi.org/gtrgrj - image: https://www.biorxiv.org/content/biorxiv/early/2024/04/02/2024.04.01.587631/F1.large.jpg - tags: - - drug screening metric - - software - - profiling - extra-links: - - type: source - link: https://github.com/cytomining/copairs - text: Software -- &id001 - id: 10.7554/eLife.91362 +- id: 10.7554/eLife.91362 title: High-content microscopy reveals a morphological signature of bortezomib resistance authors: - Megan E Kelley @@ -398,46 +496,32 @@ - cell painting - cell morphology - assay -- id: https://arxiv.org/abs/2311.13417 - title: Reproducible image-based profiling with Pycytominer +- id: 10.1101/2023.11.01.565179 + title: Molecular subtypes of high-grade serous ovarian cancer across racial groups + and gene expression platforms authors: - - Erik Serrano - - Srinivas Niranj Chandrasekaran - - Dave Bunten - - Kenneth I. Brewer - - Jenna Tomkinson - - Roshan Kern - - Michael Bornholdt - - Stephen Fleming - - Ruifan Pei - - John Arevalo - - Hillary Tsang - - Vincent Rubinetti - - Callum Tromans-Coia - - Tim Becker - - Erin Weisbart - - Charlotte Bunne - - Alexandr A. Kalinin - - Rebecca Senft - - Stephen J. Taylor - - Nasim Jamali - - Adeniyi Adeboye - - Hamdah Shafqat Abbasi - - Allen Goodman - - Juan C. Caicedo - - Anne E. Carpenter - - Beth A. Cimini - - Shantanu Singh + - Natalie R. Davidson + - Mollie E. Barnard + - Ariel A. Hippen + - Amy Campbell + - Courtney E. Johnson - Gregory P. Way - publisher: arXiv - date: '2023-11-22' - link: http://arxiv.org/abs/2311.13417 - image: https://raw.githubusercontent.com/cytomining/pycytominer/main/logo/just-icon.png - repo: https://github.com/cytomining/pycytominer + - Brian K. Dalley + - Andrew Berchuck + - Lucas A. Salas + - Lauren C. Peres + - Jeffrey R. Marks + - Joellen M. Schildkraut + - Casey S. Greene + - Jennifer A. Doherty + publisher: openRxiv + date: '2023-11-04' + link: https://doi.org/gs3vwj tags: - - software - - cell morphology -- *id001 + - ovarian cancer + - molecular subtypes + - racial disparities + - genomics - id: doi:10.1016/j.xgen.2023.100340 title: 'OpenPBTA: The Open Pediatric Brain Tumor Atlas' authors: @@ -801,7 +885,7 @@ publisher: Blood Advances date: '2019-11-12' link: https://doi.org/gg7m56 - image: https://ash.silverchair-cdn.com/ash/content_public/journal/bloodadvances/3/21/10.1182_bloodadvances.2019000303/6/advancesadv2019000303absf1.png?Expires=1632888317&Signature=gyxBCxLAJuFoJyUnY-Re3Tx7FjQJW3eGp8O5R58Nf9ivPWiKomDxz198mYlFFrCs6t-gu0ROAi9Ka4pdaBM5iltSUr~Ert9N85mYKB3NdQ9VHUXLAb-~4igHfF~azabT~UGLx2g44C3qP3RGw1X45kCm-wcOkGLwppiFdBeO-kB-llMFDPHIUtWz4KCeWPqUyDKKtCyr8A~Ke3pIxXQOMcUNhsBemAiGkbrfaRV2U08OjswvQYVkzacGGVAr7uNwBBiiaTD3EXLYw4JijMZi3bkYcNe5e9zFW2aPQifNun-76wWa4cDmI4XUqi1VOFPATlMdNXbI5JNMkRwyAESfqA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA + image: https://ash.silverchair-cdn.com/ash/content_public/journal/bloodadvances/3/21/10.1182_bloodadvances.2019000303/6/advancesadv2019000303absf1.png?Expires=1632888317&Signature=gyxBCxLAJuFoJyUnY-Re3Tx7FjQJW3eGp8O5R58Nf9ivPWiKomDxz198mYlFFrCs6t-gu0ROAi9Ka4pdaBM5iltSUr~Ert9N85mYKB3NdQ9VHUXLAb-~4igHfF~azabT~UGLx2g44C3qP3RGw1X45kCm-wcOkGLwppiFdBeO-kB-llMFDPHIUtWz4JijMZi3bkYcNe5e9zFW2aPQifNun-76wWa4cDmI4XUqi1VOFPATlMdNXbI5JNMkRwyAESfqA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA repo: greenelab/multiple-myeloma-classifier extra-links: - type: data diff --git a/_data/sources.yaml b/_data/sources.yaml index 1fa88c4..48be292 100644 --- a/_data/sources.yaml +++ b/_data/sources.yaml @@ -1,9 +1,69 @@ -- id: https://arxiv.org/abs/2508.05800 - image: https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-one-color-white.svg +- id: 10.1038/s44320-026-00197-7 + image: https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs44320-026-00197-7/MediaObjects/44320_2026_197_Fig1_HTML.png?as=webp tags: - image-based profiling - review +- id: 10.64898/2026.04.15.718737 + image: https://raw.githubusercontent.com/WayScience/buscar/main/logo/just-icon.png + tags: + - software + - hit calling + - high-content screening + - single-cell + extra-links: + - type: source + link: https://github.com/WayScience/Buscar + text: GitHub + +- id: 10.1101/2025.11.14.688518 + tags: + - cancer + - gene dependencies + - CRISPR + extra-links: + - type: source + link: https://github.com/WayScience/gene_dependency_representations + text: Analysis code + +- id: 10.1101/2025.10.23.684203 + tags: + - live-cell imaging + - apoptosis + - cell death + - time-lapse + +- id: 10.1101/2025.10.14.682427 + image: https://raw.githubusercontent.com/cytomining/cosmicqc/main/media/logo/just-icon.png + tags: + - software + - quality control + - single-cell + - image-based profiling + extra-links: + - type: source + link: https://github.com/WayScience/coSMicQC + text: GitHub + +- id: 10.1016/j.patter.2026.101514 + image: https://raw.githubusercontent.com/cytomining/cytotable/master/logo/just-icon.png + tags: + - software + - image-based profiling + - single-cell + - data harmonization + extra-links: + - type: source + link: https://github.com/cytomining/CytoTable + text: GitHub + +- id: 10.1038/s41467-025-61547-x + tags: + - cell morphology + - transcriptomics + - 22q11.2 + - phenotyping + - id: 10.1161/CIRCULATIONAHA.124.071956 image: https://www.ahajournals.org/cms/10.1161/CIRCULATIONAHA.124.071956/asset/eb5df843-0afb-4f37-bf75-265f17c7ec93/assets/graphic/circulationaha.124.071956.fig01.jpg tags: @@ -52,7 +112,7 @@ link: https://github.com/cytomining/pycytominer text: GitHub -- id: 10.1101/2024.09.11.612546 +- id: 10.1101/2024.09.11.612546 image: https://www.biorxiv.org/content/biorxiv/early/2024/09/16/2024.09.11.612546/F1.large.jpg tags: - image-based profiling @@ -109,17 +169,6 @@ - data integration - cell morphology -- id: 10.1101/2024.04.01.587631 - image: https://www.biorxiv.org/content/biorxiv/early/2024/04/02/2024.04.01.587631/F1.large.jpg - tags: - - drug screening metric - - software - - profiling - extra-links: - - type: source - link: https://github.com/cytomining/copairs - text: Software - - id: 10.7554/eLife.91362 image: https://raw.githubusercontent.com/broadinstitute/profiling-resistance-mechanisms/master/3.resistance-signature/figures/bortezomib_roc_curve.png repo: https://github.com/broadinstitute/profiling-resistance-mechanisms @@ -127,7 +176,7 @@ - cancer resistance - cell painting - open science - + - id: 10.1016/j.slasd.2023.08.009 image: https://ars.els-cdn.com/content/image/1-s2.0-S2472555223000667-gr2.jpg tags: @@ -141,20 +190,12 @@ - cell morphology - assay -- id: https://arxiv.org/abs/2311.13417 - image: https://raw.githubusercontent.com/cytomining/pycytominer/main/logo/just-icon.png - repo: https://github.com/cytomining/pycytominer - tags: - - software - - cell morphology - -- id: 10.7554/eLife.91362 - image: https://raw.githubusercontent.com/broadinstitute/profiling-resistance-mechanisms/master/3.resistance-signature/figures/bortezomib_roc_curve.png - repo: https://github.com/broadinstitute/profiling-resistance-mechanisms +- id: 10.1101/2023.11.01.565179 tags: - - cancer resistance - - cell painting - - open science + - ovarian cancer + - molecular subtypes + - racial disparities + - genomics - id: doi:10.1016/j.xgen.2023.100340 image: https://ars.els-cdn.com/content/image/1-s2.0-S2666979X23001155-fx1.jpg @@ -284,7 +325,7 @@ - glioblastoma - id: 10.1182/bloodadvances.2019000303 - image: https://ash.silverchair-cdn.com/ash/content_public/journal/bloodadvances/3/21/10.1182_bloodadvances.2019000303/6/advancesadv2019000303absf1.png?Expires=1632888317&Signature=gyxBCxLAJuFoJyUnY-Re3Tx7FjQJW3eGp8O5R58Nf9ivPWiKomDxz198mYlFFrCs6t-gu0ROAi9Ka4pdaBM5iltSUr~Ert9N85mYKB3NdQ9VHUXLAb-~4igHfF~azabT~UGLx2g44C3qP3RGw1X45kCm-wcOkGLwppiFdBeO-kB-llMFDPHIUtWz4KCeWPqUyDKKtCyr8A~Ke3pIxXQOMcUNhsBemAiGkbrfaRV2U08OjswvQYVkzacGGVAr7uNwBBiiaTD3EXLYw4JijMZi3bkYcNe5e9zFW2aPQifNun-76wWa4cDmI4XUqi1VOFPATlMdNXbI5JNMkRwyAESfqA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA + image: https://ash.silverchair-cdn.com/ash/content_public/journal/bloodadvances/3/21/10.1182_bloodadvances.2019000303/6/advancesadv2019000303absf1.png?Expires=1632888317&Signature=gyxBCxLAJuFoJyUnY-Re3Tx7FjQJW3eGp8O5R58Nf9ivPWiKomDxz198mYlFFrCs6t-gu0ROAi9Ka4pdaBM5iltSUr~Ert9N85mYKB3NdQ9VHUXLAb-~4igHfF~azabT~UGLx2g44C3qP3RGw1X45kCm-wcOkGLwppiFdBeO-kB-llMFDPHIUtWz4JijMZi3bkYcNe5e9zFW2aPQifNun-76wWa4cDmI4XUqi1VOFPATlMdNXbI5JNMkRwyAESfqA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA repo: greenelab/multiple-myeloma-classifier extra-links: - type: data diff --git a/_data/tools.yaml b/_data/tools.yaml index d3954fd..ecba495 100644 --- a/_data/tools.yaml +++ b/_data/tools.yaml @@ -2,14 +2,14 @@ group: featured image: https://raw.githubusercontent.com/cytomining/pycytominer/master/logo/just-icon.png link: https://github.com/cytomining/pycytominer - description: Python package for processing image-based profiling readouts + description: Python package for reproducible processing of image-based profiling data, published in Nature Methods (2025). repo: cytomining/pycytominer - name: CytoTable group: featured image: https://raw.githubusercontent.com/cytomining/cytotable/master/logo/just-icon.png link: https://github.com/cytomining/cytotable - description: Python package for enabling single-cell microscopy analysis + description: Python package for harmonizing and converting large-scale single-cell microscopy data into analysis-ready formats. Published in Patterns (2026). repo: cytomining/cytotable - name: coSMicQC @@ -19,23 +19,16 @@ description: Python package for single-cell quality control repo: wayscience/cosmicqc -#- name: CytoSnake -# group: featured -# image: https://raw.githubusercontent.com/wayscience/cytosnake/master/logo/just-icon.png -# link: https://github.com/wayscience/cytosnake -# description: Python package for orchestrating customized image-based profiling pipelines -# repo: wayscience/cytosnake - - name: BioBombe group: more image: https://raw.githubusercontent.com/greenelab/BioBombe/master/docs/favicon-192x192.png link: https://greenelab.github.io/BioBombe/ - description: Maximize biological representations with unsupervised ensembles across different latent space dimensionalities + description: Compresses gene expression data across latent space dimensionalities to learn complementary biological representations repo: greenelab/biobombe - name: LINCS Cell Painting group: more image: https://raw.githubusercontent.com/broadinstitute/lincs-cell-painting/master/profiles/media/cytominer_workflow.png link: https://github.com/broadinstitute/lincs-cell-painting - description: Version-controlled Cell Painting profile data from >10,000 compound perturbations + description: Version-controlled Cell Painting profiles from >10,000 compound perturbations (Broad Institute resource) repo: broadinstitute/lincs-cell-painting diff --git a/_includes/card.html b/_includes/card.html index 9d9e899..7a62cb4 100644 --- a/_includes/card.html +++ b/_includes/card.html @@ -32,9 +32,6 @@ {{- include.description | markdownify -}} {%- endif -%} - {%- if include.tag or include.repo -%} - {%- include tags.html tags=include.tags repo=include.repo -%} - {%- endif -%} {:/} diff --git a/_members/cameron-mattson.md b/_members/cameron-mattson.md index e266b2d..5afe06b 100644 --- a/_members/cameron-mattson.md +++ b/_members/cameron-mattson.md @@ -20,8 +20,8 @@ In his capstone project, he collaborated with a cardiovascular surgeon to design Cameron is currently pursuing his Graduate degree in Computer Science with a focus in Data Science and Data Engineering from the University of Colorado Boulder. He has worked on a variety of machine learning and data science projects with both large and small companies. -Cameron is naturally curious about the biomedical world: there are questions abound, but not enough answers. -The genetics side interests him the most, particularly because it is so impactful on a large scale due to the many mechanisms contributing to the central dogma of life. +Cameron is naturally curious about the biomedical world: questions abound, but not enough answers. +The genetics side interests him the most, particularly because of its outsized impact across so many mechanisms of biology. He seeks to find interesting patterns and create useful machine learning algorithms, while growing in these areas and adapting to new challenges. Aside from these projects, Cameron enjoys trail running, snowboarding, scuba diving, and a wide variety of challenging DIY projects. diff --git a/_members/erik-serrano.md b/_members/erik-serrano.md index e15ad40..61dfebe 100644 --- a/_members/erik-serrano.md +++ b/_members/erik-serrano.md @@ -18,12 +18,12 @@ links: group: active --- -Erik Serrano is a Computational Bioscience (CPBS) PhD student at the Univeristy of Colorado, Anschutz Medical Campus (CU-AMC). +Erik Serrano is a Computational Bioscience (CPBS) PhD student at the University of Colorado, Anschutz Medical Campus (CU-AMC). He joined the Way Lab in July 2022, where he is focusing on developing software applications and new methods to analyze cell morphology readouts. -Before officially joining the Way lab, Erik kick started a software tool called [Cytopipe](https://github.com/WayScience/CytoPipe), which implements reproducible analytical pipelines for processing high-dimensional cell morphology readouts. +Before officially joining the Way lab, Erik kickstarted a software tool called [Cytopipe](https://github.com/WayScience/CytoPipe), which implements reproducible analytical pipelines for processing high-dimensional cell morphology readouts. Erik obtained his bachelors degree in Molecular Biology with a minor in chemistry at the [California State University, Northridge (CSUN)](https://www.csun.edu/). -Throughout his undergraduate degree, he developed computational methods to elucidate biological insights from protein dynamic data produced by molecular dynamic simulations. +Throughout his undergraduate degree, he developed computational methods to elucidate biological insights from protein dynamic data produced by molecular dynamics simulations. After graduating from CSUN, Erik did his post baccalaureate at [Cedar-Sinai Medical Center](https://www.cedars-sinai.edu/research/departments-institutes/biomedical-sciences.html) where he designed viral based nano-particles through the usage of computational protein modeling. In addition, he also developed computational methods using gene expression data to identify potential alternative entry points where the nano-particles can be introduced. diff --git a/_members/gregory-way.md b/_members/gregory-way.md index 1462319..3c30fb0 100644 --- a/_members/gregory-way.md +++ b/_members/gregory-way.md @@ -27,7 +27,7 @@ Greg is the Principal Investigator (PI) of the Way Lab. He is an Assistant Professor in the Department of [Biomedical Informatics](https://medschool.cuanschutz.edu/dbmi) and a member of the [Center for Health AI](https://medschool.cuanschutz.edu/ai) in the [School of Medicine at University of Colorado Anschutz](https://medschool.cuanschutz.edu/). He sets forward the lab's scientific path of inquiry, acquires funding, and establishes a lab environment where scientists of all backgrounds can flourish. He is currently interested in developing morphology as a systems biology readout of disease states to link molecular information with higher order phenotypes in order to improve drug discovery and translational research. -He is an optimist who believes that the next generation of biological discoveries will require lots of data, lots of compute, reproducible software, and a lot more diverse people with diverse ideas to forge an equitable and prosperous path forward for humanity. +He is an optimist who believes that the next generation of biological discoveries will require lots of data, lots of compute, reproducible software, and far more diverse people and ideas to forge an equitable and prosperous path forward for humanity. Before founding the Way Lab in 2021, Greg earned a B.S. in Biology and Environmental Studies from [The College of New Jersey](https://tcnj.edu/), an M.S. in Biology from [Saint Joseph's University](https://www.sju.edu/), and a Ph.D. [Genomics and Computational Biology](https://www.med.upenn.edu/gcb/) from [The University of Pennsylvania](https://www.upenn.edu/). His PhD research applied machine learning to genomic and transcriptomic data. diff --git a/_members/jacey-curd.md b/_members/jacey-curd.md index 482b069..6e7cda0 100644 --- a/_members/jacey-curd.md +++ b/_members/jacey-curd.md @@ -18,6 +18,6 @@ group: active Jacey graduated with B.S. degrees in Computer Science and Biology from Duke University, where she worked in Dr. Raluca Gordan’s lab on CRISPR and MutS. In her senior thesis, she focused on the DNA binding specificity of MutS, the primary enzyme responsible for initiating mismatch repair, and possible associations with CRISPR Prime Editing technology, specifically in single base pair edits. -Jacey joined the Way Lab in July 2024, and is incredibly passionate about researching pediatric oncology, with a focus on computational methods. +Jacey joined the Way Lab in July 2024, and is passionate about pediatric oncology research, with a focus on computational methods. Outside of the lab, Jacey enjoys ballet, salsa, and line dancing, and also helps mentor a FIRST robotics team. diff --git a/_members/jenna-tomkinson.md b/_members/jenna-tomkinson.md index 4039289..1a6bab8 100644 --- a/_members/jenna-tomkinson.md +++ b/_members/jenna-tomkinson.md @@ -16,9 +16,9 @@ group: active --- Jenna is a Quantitative Cell Biologist at the Way Lab. -She graduated with her Bachelor of Science in Biology at the [University of Colorado Denver](https://www.ucdenver.edu/) with a minor in Behavorial Cognitive Neuroscience. +She graduated with her Bachelor of Science in Biology at the [University of Colorado Denver](https://www.ucdenver.edu/) with a minor in Behavioral Cognitive Neuroscience. During her undergrad, she worked on a [research project](https://symposium.foragerone.com/2022-racas/presentations/45498) involving the impact of temperature stress on gene expression and how it compares across development in the Drosophila melanogaster or common fruit fly. -She is excited to learn more about computational biology through this position and contribute to the production of workflows and pipelines for the lab. +She has since become a core contributor to the lab's computational workflows and pipelines, with several first-author publications in image-based profiling and cell morphology. Jenna was born in Michigan but has spent most of her life in Aurora. In her free time, she enjoys hanging out with her parents by going on hikes or vacations together, spending time with her boyfriend and going to Colorado Rapids games with him, and watching Netflix or YouTube. diff --git a/_members/mike-lippincott.md b/_members/mike-lippincott.md index 06a5bf2..8ae71b1 100644 --- a/_members/mike-lippincott.md +++ b/_members/mike-lippincott.md @@ -23,7 +23,7 @@ Mike joined the Way Lab in July 2023 and is looking to understand how cellular m Mike earned a B.S. in Biochemistry and Data Science from [Maryville University of Saint Louis](https://www.maryville.edu/) in 2021. Here he conducted research in biochemical pathway manipulations in sugar cane, CRISPR gene editing in non-mendelian genetic plant models, plasma based atomic emission spectroscopy, and cellular transcriptomic investigation of telomerase activating drug TA-65. -After graduating from [Maryville](https://www.maryville.edu/), Mike did his post-baccalaureate training at the [University of North Caroina at Chapel Hill](https://www.unc.edu/) where he developed software to analyze telomeric sequence homology in _[Caenorabditis elegans](http://www.wormbook.org/)_ and Humans. +After graduating from [Maryville](https://www.maryville.edu/), Mike did his post-baccalaureate training at the [University of North Carolina at Chapel Hill](https://www.unc.edu/) where he developed software to analyze telomeric sequence homology in _[Caenorhabditis elegans](http://www.wormbook.org/)_ and Humans. Mike finds the unknown depths of science to be the most exciting part of research. Further understanding the unknown and sharing that knowledge with others is what drives him to pursue a career in science. In the age of big data, the opportunity to delve into the unknown is more accessible than ever. diff --git a/_members/weishan-li.md b/_members/weishan-li.md index e77820f..67bfe6d 100644 --- a/_members/weishan-li.md +++ b/_members/weishan-li.md @@ -11,9 +11,9 @@ links: group: active --- -Weishan Li is a Computational Bioscience (CPBS) PhD student at the Univeristy of Colorado, Anschutz Medical Campus (CU-AMC). -He joined the Way lab in July 2025, working on projects related to developing and benchmarking virtual staining models and agentic ai for science. +Weishan Li is a Computational Bioscience (CPBS) PhD student at the University of Colorado, Anschutz Medical Campus (CU-AMC). +He joined the Way lab in July 2025, working on projects related to developing and benchmarking virtual staining models and agentic AI for science. Weishan has a bachelors degree in Bioinformatics from [University of California San Diego (UCSD)](https://ucsd.edu/), and a master's degree in Biostatistics from [Johns Hopkins SPH](https://publichealth.jhu.edu/). -Outside of work Weishan enjoyed video games and cycling. +Outside of work Weishan enjoys video games and cycling. diff --git a/_posts/2022-09-13-githubstrategy.md b/_posts/2022-09-13-githubstrategy.md new file mode 100644 index 0000000..c050e4f --- /dev/null +++ b/_posts/2022-09-13-githubstrategy.md @@ -0,0 +1,114 @@ +--- +title: "GitHub Strategy for Open Science" +author: Gregory Way +member: gregory-way +tags: + - microscopy data + - process +--- + +## A suitable and flexible data management strategy is essential for effective and trustworthy science. + +Our goal for data is to maximize access, understanding, analysis speed, and provenance while reducing barriers, unnecessary storage bloat, and cost. + +### Data perspectives + +We think about data using three different perspectives: + +1. Level +2. Origin +3. Flow + +Each perspective requires us to think through different considerations for storage, access, and provenance management. +Managing microscopy data is related to other data types, with some nuance. +For more details, see our previous article on data sharing practices for many different biological data types (including microscopy images)([Wilson et al. 2021](https://doi.org/10.1002/1873-3468.14067)). + +#### 1. Level + +The data level indicates the stage and amount of bioinformatics processing applied. +For example, the lowest data level, or “raw” data, are the images acquired by the microscope. +(Technically, the biological substrate is the “rawest” data, but we consider the digitization of biological data to be the lowest level). +Following the raw form, scientists apply various bioinformatics processing steps to generate various forms of intermediate data (see Figure 1). + +With microscopy data, there are many different kinds of intermediate data; each typically of different sizes and thus have different storage and sharing requirements. +Each intermediate data type has different requirements for storage and sharing. + +#### 2. Origin + +Where data come from also requires unique management policies. +Data can originate from within (either the lab or collaborators (both academic and industry)) or externally (data already in the public domain). + +It is important to consider access requirements and restrictions, particularly when using collaborator data. +For example, it is never ok to share identifiable patient data. +When analyzing private data, we apply the same standards as public data, as it is helpful to remember that most data will eventually be in the public domain. + +#### 3. Flow + +Besides the most raw form, data are dynamic and pluripotent; always awaiting new and improved processing capabilities. +To determine short, mid, and long term storage solutions, we need to understand how each specific data level was processed at the specific moment in time (data provenance), and how each data level will ultimately be used. + +We also need capabilities to quickly reprocess these data with new approaches. +Consider each data processing step as a new research project, waiting for improvement. + +Flow also refers to users and data demand. +We need to consider data analysis activity at each particular moment. +For example, if the data are actively being worked on, multiple people should have immediate access. +We need to align data access demand with storage solutions and computability. + +### Microscopy storage solutions + +We consider three categories of potential storage solutions for microscopy-associated data: + +- Local storage + - Internal hard drive + - External hard drive +- Cloud storage + - Image Data Resource (IDR) + - Amazon/GC/Azure + - Figshare/Figshare+ + - Zenodo + - Github/Github LFS + - DVC + - Local HPC + - One Drive/Dropbox/Google drive +- No storage + - Immediate deletion + +Each storage solution has trade-offs in terms of longevity, access, usage speed, version control, size restrictions, and cost (Table 1). + +| Solution | Longevity | Version control | Access | Usage speed | Size limits | Cost | +|----------|-----------|-----------------|--------|-------------|-------------|------| +| Internal hard drive | Intermediate | No | Private | Instant | <= 18TB (Total) | ~$15 per TB one time cost | +| External hard drive | High | No | Private | Download | <= 18TB (Total) | ~$15 per TB one time cost | +| IDR | High | Yes | Public | Download | >= 2TB (Per dataset) | Free | +| AWS/GC/Azure | Low | Yes | Public/Private | Instant | >= 2TB (Per dataset) | $0.02 - $0.04 per GB / Month ($40 to $80 per month per 2TB dataset) | +| Figshare | High | Yes | Public | Download | 20GB (Total) | Free ([Details](https://help.figshare.com/article/figshare-account-limits)) | +| Figshare+ | High | Yes | Public | Download | 250GB > x > 5TB (Per dataset) | $745 > x > $11,860 one time cost ([Details](https://knowledge.figshare.com/plus)) | +| Zenodo | High | Yes | Public | Download | >= 50GB (Per dataset) | Free ([Details](https://help.zenodo.org/)) | +| Github | High | Yes | Public/Private | Instant | >= 100MB (Per file) (Details) | Free | +| Github LFS | Intermediate | Yes | Public/Private | Instant | >= 2GB (up to 5GB for paid plans) | 50GB data pack for $5 per month ([Details](https://docs.github.com/en/billing/managing-billing-for-git-large-file-storage/about-billing-for-git-large-file-storage)) | +| DVC | High | Yes | Public/Private | Download | None | Cost of linked service (AWS/Azure/GC) | +| One drive | Low | Yes | Public/Private | Instant | >= 5TB (Total) | Free to AMC | +| Dropbox | Low | Yes | Public/Private | Instant | Unlimited (Total) | $24 per user / month ([Details](https://www.dropbox.com/plans)) | +| Google drive | Low | Yes | Public/Private | Instant | >= 5TB (Total) | $25 per month (5 users)([Details](https://one.google.com/about/plans)) | +| Local cluster | Intermediate | No | Private | Instant | | | +| Immediate deletion | None | None | None | None | None | None | + +**Table 1**: _Tradeoffs and considerations for data storage solutions._ Cost subject to change over time. + +### Microscopy data levels + +From the raw microscopy image to intermediate data types including single cell and bulk embeddings, each data level has unique data storage and sharing considerations. We present a typical storage lifespan according to different data levels in Figure 1. + +{% + include figure.html + image="images/blog/data_strategy/data_pipeline.png" + width="100%" +%} + +#### Metadata + +Metadata for microscopy experiments have been discussed extensively, and are exceptionally important for data reproducibility and re-use. +For example, an entire [Nature methods collection was recently devoted to microscopy metadata](https://www.nature.com/collections/djiciihhjh). +Most image-related metadata are stored alongside each image in `.tiff` formats, and many publicly available resources contain detailed instructions on how to access metadata. +This metadata must persist through the different data levels, and most often the metadata are small enough to store easily on github and local machines. diff --git a/blog/index.md b/blog/index.md index 4b2794d..2c145bf 100644 --- a/blog/index.md +++ b/blog/index.md @@ -2,7 +2,7 @@ title: Blog nav: order: 4 - tooltip: Just some thoughts + tooltip: Lab updates and technical writing --- # Blog @@ -12,16 +12,3 @@ nav: {% include search-info.html %} {% include list.html data="posts" component="post-excerpt" %} - -{% include section.html %} - -## News - - - -Tweets by gwayscience -{:.center} - -Follow @gwayscience -Tweet to @gwayscience -{:.center} diff --git a/contact/index.md b/contact/index.md index 5f10c94..400a147 100644 --- a/contact/index.md +++ b/contact/index.md @@ -6,7 +6,10 @@ nav: --- # Contact -Our lab is part of the [Department of Biomedical Informatics](https://medschool.cuanschutz.edu/dbmi) in the [School of Medicine at University of Colorado Anschutz](https://medschool.cuanschutz.edu/). + +We'd love to hear from you. Reach out by email or find us on campus. + +Our lab is part of the [Department of Biomedical Informatics](https://medschool.cuanschutz.edu/dbmi) in the [School of Medicine at the University of Colorado Anschutz](https://medschool.cuanschutz.edu/). Office P12-6275
Anschutz Health Sciences Building
@@ -15,33 +18,24 @@ Aurora, CO 80045 Email: gregory.way@cuanschutz.edu +{% capture col1 %} {% include figure.html image="images/contact_ahs.jpg" caption="Anschutz Health Sciences Building" - width="400px" -%} - +{% endcapture %} + +{% include two-col.html col1=col1 col2=col2 %} + {% include link.html type="address" @@ -52,30 +46,3 @@ Email: gregory.way@cuanschutz.edu style="button" %} {:.center} - -{% include section.html %} - - diff --git a/css/banner.scss b/css/banner.scss index 31a0509..545f5dc 100644 --- a/css/banner.scss +++ b/css/banner.scss @@ -7,4 +7,7 @@ .banner { width: 100%; + max-height: 350px; + object-fit: cover; + object-position: center 40%; } diff --git a/images/banner.jpg b/images/banner.jpg index 08581ba..db8e17d 100644 Binary files a/images/banner.jpg and b/images/banner.jpg differ diff --git a/images/contact_lab.jpg b/images/contact_lab.jpg new file mode 100644 index 0000000..b8f0afb Binary files /dev/null and b/images/contact_lab.jpg differ diff --git a/index.md b/index.md index 9fceee7..39e1ae7 100644 --- a/index.md +++ b/index.md @@ -4,12 +4,9 @@ title: Home Welcome to the Way Lab at [The University of Colorado Anschutz](https://www.cuanschutz.edu/)! -The mission of our lab is to reduce human suffering. -We develop new computational methods and software for analyzing microscopy images of cells. -With our collaborators around the world, we develop innovative assays and approaches for making sense of high-content microscopy. -We focus on pediatric diseases, including pediatric cancer and Neurofibromatosis Type 1 (NF1), and we also have applications in discovering new treatments for cardiac fibrosis. +Our mission is to reduce human suffering through biomedical data science. We build computational methods and open source software to analyze high-content microscopy images of cells, and we partner with collaborators worldwide to develop innovative assays and approaches for extracting biological meaning from these images. Our disease focus spans pediatric cancer, Neurofibromatosis Type 1 (NF1), and cardiac fibrosis. -We also perform open science, making all of our work immediately open for anyone to use and build upon. +We practice open science — all of our code, data, and analyses are immediately available for anyone to use and build upon. {% include link.html diff --git a/join/index.md b/join/index.md index 79357b4..aeb91b5 100644 --- a/join/index.md +++ b/join/index.md @@ -3,18 +3,28 @@ title: Join description: How to join --- -# We are hiring! +# Join the Way Lab {% include search-info.html %} {% include section.html %} -Please see the [CU Careers website](https://cu.taleo.net/careersection/2/moresearch.ftl?lang=en&radiusType=K&location=4100103016&searchExpanded=true&radius=1&portal=101430233) for any recent postings. +We are a collaborative, open-science lab at the University of Colorado Anschutz working at the intersection of computational biology, image-based profiling, and drug discovery. We welcome applicants from diverse scientific backgrounds — biology, computer science, statistics, engineering, and beyond. -Reach out to gregory.way@cuanschutz.edu with any preliminary questions. +## Postdoctoral researchers and staff + +Please see the [CU Careers website](https://cu.taleo.net/careersection/2/moresearch.ftl?lang=en&radiusType=K&location=4100103016&searchExpanded=true&radius=1&portal=101430233) for current openings. For informal inquiries, email gregory.way@cuanschutz.edu with your CV and a brief description of your research interests. ## PhD students -All prospective PhD students check out [CU Anschutz](https://www.cuanschutz.edu/), in particular the [Computational Biosciences program](https://www.cuanschutz.edu/graduate-programs/computational-bioscience/home), the [Human Medical Genetics and Genomics program](https://www.cuanschutz.edu/graduate-programs/human-medical-genetics-and-genomics/home) and the [Cell Biology, Stem Cells, and Development program](https://www.cuanschutz.edu/graduate-programs/cell-biology-stem-cells-and-development/home). +Prospective PhD students should apply through one of the graduate programs at CU Anschutz. The most relevant programs for the Way Lab are: + +- [Computational Bioscience](https://www.cuanschutz.edu/graduate-programs/computational-bioscience/home) — the primary home for computational and data science students +- [Cell Biology, Stem Cells, and Development](https://www.cuanschutz.edu/graduate-programs/cell-biology-stem-cells-and-development/home) +- [Human Medical Genetics and Genomics](https://www.cuanschutz.edu/graduate-programs/human-medical-genetics-and-genomics/home) + +Feel free to reach out at gregory.way@cuanschutz.edu before applying — please include your CV and a short note about why you're interested in the lab's work. + +## Undergraduate students -Reach out to gregory.way@cuanschutz.edu with any preliminary questions. \ No newline at end of file +We occasionally host undergraduate researchers and summer interns. If you're interested, send an email with your CV and a description of your background and interests. diff --git a/netlify.toml b/netlify.toml new file mode 100644 index 0000000..21ac744 --- /dev/null +++ b/netlify.toml @@ -0,0 +1,6 @@ +[build] + command = "bundle exec jekyll build" + publish = "_site" + +[build.environment] + RUBY_VERSION = "3.3" diff --git a/research/index.md b/research/index.md index a137a08..f76dce6 100644 --- a/research/index.md +++ b/research/index.md @@ -7,25 +7,21 @@ nav: # Research -We are building the second generation of high-content microscopy image analysis. +The Way Lab develops computational methods, software, and assays to push forward the next generation of high-content microscopy image analysis. Our work spans four interconnected areas: -We are specifically focused on the following work: - -- **Reproducible software and methods for high-content microscopy analysis.** We are building open source software to support reproducible microscopy image analysis. We develop [pycytominer](https://github.com/cytomining/pycytominer), [CytoTable](https://github.com/cytomining/cytotable), and [coSMicQC](https://github.com/WayScience/cosmicqc) to analyze and process large-scale microscopy images. Our aim is to improve data processing pipelines, reproducibility, data provenance, and dataset interoperability. We are also innovating new methods and software for analyzing microscopy images across space and time. -- **Predicting cell phenotypes.** We extract biologically-meaningful and reproducible representations which contain information about cell phenotypes. We train artificial intelligence and machine learning (AI/ML) algorithms (e.g., virtual staining) to predict cell phenotypes and other markers from these images. These phenotypes include various cell health states, cell death mechanisms, and other important biological processes (e.g., nuclear speckles). Our aim is to use these representations to characterize and discover new biological processes and to annotate drug screening data with cell phenotypes. -- **Drug screening for pediatric cancers, Neurofibromatosis Type 1, and cardiac fibrosis.** We perform microscopy-based, _in vitro_ phenotypic drug screening to prioritize promising drug candidates and new targets. We are also developing patient-derived organoid phenotypic drug screening. Our goal is to identify new therapeutic strategies for diseases with urgent unmet needs. -- **Innovative method development for drug screening and translational research.** We develop new assays and computational methods to improve human health. This includes modeling NF1 and other pediatric diseases using patient-derived organoids, developing CRISPRi approaches to simulate specific high-dimensional phenotypes, modeling cell resistance to cancer therapies, and pioneering the concept we call "multi-gene dependencies", which we believe will revolutionize precision medicine for cancer patients. +- **Reproducible software for image-based profiling.** We build and maintain open source tools — [pycytominer](https://github.com/cytomining/pycytominer), [CytoTable](https://github.com/cytomining/cytotable), and [coSMicQC](https://github.com/WayScience/cosmicqc) — that process and harmonize large-scale microscopy data. We focus on reproducibility, data provenance, and interoperability, and are extending these tools to support spatial and time-lapse imaging. +- **Predicting cell phenotypes from morphology.** We extract rich, reproducible representations of cell morphology and use machine learning — including deep learning and virtual staining — to predict cell health states, cell death mechanisms, and other biological processes. We apply these representations to characterize disease biology and to annotate drug screening data. +- **Drug screening for pediatric cancer, NF1, and cardiac fibrosis.** We conduct microscopy-based, _in vitro_ phenotypic drug screening and are developing patient-derived organoid models to prioritize therapeutic candidates for diseases with few treatment options. +- **New methods for drug screening and translational research.** We develop CRISPRi-based approaches to simulate high-dimensional phenotypes, model cancer therapy resistance, and investigate what we call "multi-gene dependencies" — the idea that most cancer vulnerabilities involve networks of genes, not single targets — with the goal of improving precision medicine. ## How we do science -- **Open science and software.** We perform all of our work in the open and release all of our software as open source. We aim to maximize the impact and reproducibility of our research by making everything we do immediately available for others to build upon. We host all of our code, data, and analysis at [https://github.com/WayScience](https://github.com/WayScience). -- **Scientific publishing.** We submit preprints of our work and subsequently publish in peer-reviewed journals to disseminate knowledge more formally. We use pre-print review services (like [Review Commons](https://www.reviewcommons.org/)) whenever possible to improve the peer-review process. For each project, we also share project-specific github repositories (representing a lab notebook) to facilitate computational reproducibility. - -We strive for creativity, integrity, inclusivity, and rigor in everything that we do. +- **Open science.** All of our code, data, and analyses are publicly available as we generate them. We host everything at [https://github.com/WayScience](https://github.com/WayScience) or community-focused projects at [https://github.com/cytomining](https://github.com/cytomining). +- **Scientific publishing.** We post preprints and publish in peer-reviewed journals. We share project-specific repositories as reproducible lab notebooks alongside each paper. -See [here](https://scholar.google.com/citations?user=iDKZaA4AAAAJ&hl=en) for a full list of work. +See [here](https://scholar.google.com/citations?user=iDKZaA4AAAAJ&hl=en) for a full list of work with citation information. -See below for a selection of our recent papers. +## Publications {% include section.html %} diff --git a/software/index.md b/software/index.md index 4df7a42..4980b13 100644 --- a/software/index.md +++ b/software/index.md @@ -11,7 +11,7 @@ nav: {% include section.html %} -## Featured +## Featured Software {% include list.html component="card" data="tools" filters="group: featured" %} diff --git a/team/index.md b/team/index.md index 37e2e6c..e4c7acf 100644 --- a/team/index.md +++ b/team/index.md @@ -7,9 +7,8 @@ nav: # Team -We welcome, embrace, and are strengthened by diverse views and experiences of all team members. -Our lab is comprised of compassionate scientists who foster a welcoming, inclusive, and healthy environment. -We define success individually for each team member, and we challenge each other to develop and pursue individual passions. +Our lab comprises scientists from diverse backgrounds who foster a welcoming, inclusive, and healthy environment. +We define success individually for each team member, and we encourage everyone to develop and pursue their own passions. {% include section.html %} @@ -58,7 +57,7 @@ We encourage all to apply. ## Alumni All of our former team members have made important contributions to our lab and science. -We will always be grateful for the time we spent together and the knowledge they shared! +We will always be grateful for the time we spent together and the knowledge they shared. {% include list.html data="members" component="portrait" filters="group: alum" %} @@ -89,8 +88,8 @@ Our work is made possible by the following organizations. tooltip4="Japan Agency for Medical Research and Development" image5="images/funding/NHLBI_logo.png" - link4="https://www.nhlbi.nih.gov/" - tooltip4="National Heart, Lung, and Blood Institute" + link5="https://www.nhlbi.nih.gov/" + tooltip5="National Heart, Lung, and Blood Institute" %} {% include section.html %} \ No newline at end of file