#deseq2 — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #deseq2, aggregated by home.social.
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Tool Choice Matters: New Benchmark Finds edgeR Beats DESeq2 on Reproducibility and Cross-Study Generalizability
https://1ban.news/edger-vs-deseq2-benchmarking-rna-seq/
#1ban #edger #deseq2 #benchmarking #rna #science -
Tool Choice Matters: New Benchmark Finds edgeR Beats DESeq2 on Reproducibility and Cross-Study Generalizability
https://1ban.news/edger-vs-deseq2-benchmarking-rna-seq/
#1ban #edger #deseq2 #benchmarking #rna #science -
Tool Choice Matters: New Benchmark Finds edgeR Beats DESeq2 on Reproducibility and Cross-Study Generalizability
https://1ban.news/edger-vs-deseq2-benchmarking-rna-seq/
#1ban #edger #deseq2 #benchmarking #rna #science -
Tool Choice Matters: New Benchmark Finds edgeR Beats DESeq2 on Reproducibility and Cross-Study Generalizability
https://1ban.news/edger-vs-deseq2-benchmarking-rna-seq/
#1ban #edger #deseq2 #benchmarking #rna #science -
Tool Choice Matters: New Benchmark Finds edgeR Beats DESeq2 on Reproducibility and Cross-Study Generalizability
https://1ban.news/edger-vs-deseq2-benchmarking-rna-seq/
#1ban #edger #deseq2 #benchmarking #rna #science -
Pipeline release! nf-core/differentialabundance v2.0.0 - v2.0.0 - 2026-06-23!
Differential abundance analysis for feature/ observation matrices from platforms such as RNA-seq
Please see the changelog: https://github.com/nf-core/differentialabundance/releases/tag/2.0.0#atacseq #chipseq #deseq2 #differentialabundance #differentialexpression #gsea #limma #microarray #rnaseq #shiny #nfcore #openscience #nextflow #bioinformatics
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Pipeline release! nf-core/differentialabundance v2.0.0 - v2.0.0 - 2026-06-23!
Differential abundance analysis for feature/ observation matrices from platforms such as RNA-seq
Please see the changelog: https://github.com/nf-core/differentialabundance/releases/tag/2.0.0#atacseq #chipseq #deseq2 #differentialabundance #differentialexpression #gsea #limma #microarray #rnaseq #shiny #nfcore #openscience #nextflow #bioinformatics
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Pipeline release! nf-core/differentialabundance v2.0.0 - v2.0.0 - 2026-06-23!
Differential abundance analysis for feature/ observation matrices from platforms such as RNA-seq
Please see the changelog: https://github.com/nf-core/differentialabundance/releases/tag/2.0.0#atacseq #chipseq #deseq2 #differentialabundance #differentialexpression #gsea #limma #microarray #rnaseq #shiny #nfcore #openscience #nextflow #bioinformatics
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Pipeline release! nf-core/differentialabundance v2.0.0 - v2.0.0 - 2026-06-23!
Differential abundance analysis for feature/ observation matrices from platforms such as RNA-seq
Please see the changelog: https://github.com/nf-core/differentialabundance/releases/tag/2.0.0#atacseq #chipseq #deseq2 #differentialabundance #differentialexpression #gsea #limma #microarray #rnaseq #shiny #nfcore #openscience #nextflow #bioinformatics
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Pipeline release! nf-core/differentialabundance v2.0.0 - v2.0.0 - 2026-06-23!
Differential abundance analysis for feature/ observation matrices from platforms such as RNA-seq
Please see the changelog: https://github.com/nf-core/differentialabundance/releases/tag/2.0.0#atacseq #chipseq #deseq2 #differentialabundance #differentialexpression #gsea #limma #microarray #rnaseq #shiny #nfcore #openscience #nextflow #bioinformatics
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@haojiawu @biorxivpreprint this is very interesting. I have been telling people that one of the main reasons for using #RStats instead of #python for gene expression analysis, is the lack of methods such as #DESeq2 or #limma as python libraries. This might tip the balance for a lot of people.
Of course there are many reasons to prefer R, the excellent #Bioconductor ecosystem one of them, and in fairness, for #scRNA analysis python has very strong ecosystem and community.
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@haojiawu @biorxivpreprint this is very interesting. I have been telling people that one of the main reasons for using #RStats instead of #python for gene expression analysis, is the lack of methods such as #DESeq2 or #limma as python libraries. This might tip the balance for a lot of people.
Of course there are many reasons to prefer R, the excellent #Bioconductor ecosystem one of them, and in fairness, for #scRNA analysis python has very strong ecosystem and community.