@@ -4,42 +4,142 @@ bibliography: references.bib
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csl : publications/csl/elife.csl
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---
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- # Bioconductor Packages
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+ ::::::::::::::::::::::::::::::::: software-container
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+ # Our Computational Tools {.page-title}
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+ ::: {.lead .text-center .mb-5}
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+ We develop open-source software for genomic data analysis, with a focus on cancer research and single-cell methods.
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+ :::
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+
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+ ::::::::::::::::::::::: software-grid
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+ ::::::: {.software-card .fade-in}
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+ ::: software-icon
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+ ![ Corral Package] ( contents/hexstickers/corral_sticker.png )
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+ :::
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+
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+ ::::: software-info
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## Corral
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- ![ ] ( contents/hexstickers/corral_sticker.png ) {width="200"}
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+ Single-cell RNA-seq dimension reduction, batch integration, and visualization with correspondence analysis.
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+
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+ ::: software-links
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+ [ Bioconductor] ( https://bioconductor.org/ ) {.btn .btn-primary .btn-sm} [ GitHub] ( https://github.com/ ) {.btn .btn-secondary .btn-sm}
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+ :::
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+
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+ ::: software-publications
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+ #### Publications
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- Publications include [ @Hsu2023 ; @L ê2021; @hsu2020 ]
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+ - [ @Hsu2023 ]
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+ - [ @L ê2021]
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+ - [ @hsu2020 ]
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+ :::
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+ :::::
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+ :::::::
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+ ::::::: {.software-card .fade-in}
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+ ::: software-icon
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+ ![ MOGSA Package] ( contents/hexstickers/mogsa_sticker.png )
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+ :::
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+
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+ ::::: software-info
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## MOGSA
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- ![ ] ( contents/hexstickers/mogsa_sticker.png ) {width="200"}
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+ Multi-Omics Gene Set Analysis: Integrative analysis of multiple experimental and molecular data types.
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+
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+ ::: software-links
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+ [ Bioconductor] ( https://bioconductor.org/ ) {.btn .btn-primary .btn-sm} [ GitHub] ( https://github.com/ ) {.btn .btn-secondary .btn-sm}
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+ :::
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+
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+ ::: software-publications
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+ #### Publications
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+
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+ - [ @Meng2016 ]
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+ - [ @Meng2019 ]
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+ - [ @Meng2014 ]
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+ - [ @Meng2016a ]
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+ - [ @L ê2021]
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+ :::
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+ :::::
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+ :::::::
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+
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+ ::::::: {.software-card .fade-in}
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+ ::: software-icon
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+ ![ iBBiG Package] ( https://raw.githubusercontent.com/Bioconductor/BiocStickers/master/iBBiG/iBBiG.png )
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+ :::
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+
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+ ::::: software-info
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+ ## iBBiG
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+
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+ Iterative Binary Bi-clustering of Gene Sets for biclustering and pattern discovery in gene expression data.
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+
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+ ::: software-links
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+ [ Bioconductor] ( https://bioconductor.org/ ) {.btn .btn-primary .btn-sm} [ GitHub] ( https://github.com/ ) {.btn .btn-secondary .btn-sm}
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+ :::
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+
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+ ::: software-publications
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+ #### Publications
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+
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+ - [ @gusenleitner2012 ]
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+ :::
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+ :::::
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+ :::::::
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+
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+ ::::::: {.software-card .fade-in}
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+ ::: software-icon
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+ ![ made4 Package] ( https://raw.githubusercontent.com/Bioconductor/BiocStickers/master/made4/made4.png )
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+ :::
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+
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+ ::::: software-info
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+ ## made4
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- Publications [ @ Meng2016 ; @ Meng2019 ; @ Meng2014 ; @ Meng2016a ; @ L ê2021 ]
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+ Multivariate Analysis of Microarray Data using ADE4 for visualization and analysis of microarray data.
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- ### iBBiG
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+ ::: software-links
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+ [ Bioconductor] ( https://bioconductor.org/ ) {.btn .btn-primary .btn-sm} [ GitHub] ( https://github.com/ ) {.btn .btn-secondary .btn-sm}
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+ :::
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- @gusenleitner2012 ; @gusenleitner2012
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+ ::: software-publications
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+ #### Publications
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- ### Omicade4
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+ - [ @Culhane2005 ]
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+ :::
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+ :::::
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+ :::::::
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+ :::::::::::::::::::::::
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- @Meng2014
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+ :::::::::: {.mt-5 .workshops-section .fade-in}
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+ ## Workshops & Training Materials
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- ### made4
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+ ::::::::: card-deck
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+ :::: card
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+ ::: card-body
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+ ### Hitchhiker's Guide to PCA
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- @ Culhane2005
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+ A comprehensive tutorial on Principal Component Analysis for genomic data.
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- # Hackathon
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+ [ View Workshop] ( # ) {.btn .btn-primary}
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+ :::
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+ ::::
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- BIRSBiointegration.
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+ :::: card
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+ ::: card-body
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+ ### Quick Guide to scRNAseq
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- - Datasets and code (link)
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+ Introduction to single-cell RNA sequencing analysis methods.
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- - The hackathon is described in @L ê2021
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+ [ View Workshop] ( # ) {.btn .btn-primary}
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+ :::
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+ ::::
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- # Workshops
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+ :::: card
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+ ::: card-body
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+ ### BIRSBiointegration Hackathon
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- Hitchhikers Guide to PCA
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+ Datasets and code from our multi-omics integration hackathon.
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- Quick guide to scRNAseq
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+ [ Explore Hackathon] ( # ) {.btn .btn-primary}
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+ :::
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+ ::::
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+ :::::::::
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+ ::::::::::
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+ :::::::::::::::::::::::::::::::::
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