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#rnaseq — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #rnaseq, aggregated by home.social.

  1. Pipeline release! nf-core/scrnaseq v4.2.0 - 4.2.0!
    Single-cell RNA-Seq pipeline for barcode-based protocols such as 10x, DropSeq or SmartSeq, offering a variety of aligners and empty-droplet detection
    Please see the changelog: github.com/nf-core/scrnaseq/re

    #10xgenomics #10xgenomics #alevin #bustools #cellranger #kallisto #rnaseq #singlecell #starsolo #nfcore #openscience #nextflow #bioinformatics

  2. Pipeline release! nf-core/scrnaseq v4.2.0 - 4.2.0!
    Single-cell RNA-Seq pipeline for barcode-based protocols such as 10x, DropSeq or SmartSeq, offering a variety of aligners and empty-droplet detection
    Please see the changelog: github.com/nf-core/scrnaseq/re

    #10xgenomics #10xgenomics #alevin #bustools #cellranger #kallisto #rnaseq #singlecell #starsolo #nfcore #openscience #nextflow #bioinformatics

  3. 6/ Lastly, in nature.com/articles/s41592-023. the observed sensitivity deficits stem from three sources: (1) poor annotation of 3′ gene ends; (2) issues with intronic read incorporation; and (3) gene overlap-derived read loss. #singlecell #RNAseq

  4. 6/ Lastly, in nature.com/articles/s41592-023. the observed sensitivity deficits stem from three sources: (1) poor annotation of 3′ gene ends; (2) issues with intronic read incorporation; and (3) gene overlap-derived read loss. #singlecell #RNAseq

  5. Pipeline release! nf-core/scnanoseq v1.3.0 - nf-core/scnanoseq v1.3.0 - Steel Elephant!
    Single-cell/nuclei pipeline for data derived from Oxford Nanopore and 10X Genomics
    Please see the changelog: github.com/nf-core/scnanoseq/r

    #10xgenomics #longreadsequencing #nanopore #rnaseq #rnaseq #scrnaseq #singlecell #nfcore #openscience #nextflow #bioinformatics

  6. Pipeline release! nf-core/scnanoseq v1.3.0 - nf-core/scnanoseq v1.3.0 - Steel Elephant!
    Single-cell/nuclei pipeline for data derived from Oxford Nanopore and 10X Genomics
    Please see the changelog: github.com/nf-core/scnanoseq/r

    #10xgenomics #longreadsequencing #nanopore #rnaseq #rnaseq #scrnaseq #singlecell #nfcore #openscience #nextflow #bioinformatics

  7. Pipeline release! nf-core/scnanoseq v1.3.0 - nf-core/scnanoseq v1.3.0 - Steel Elephant!
    Single-cell/nuclei pipeline for data derived from Oxford Nanopore and 10X Genomics
    Please see the changelog: github.com/nf-core/scnanoseq/r

    #10xgenomics #longreadsequencing #nanopore #rnaseq #rnaseq #scrnaseq #singlecell #nfcore #openscience #nextflow #bioinformatics

  8. Pipeline release! nf-core/scnanoseq v1.3.0 - nf-core/scnanoseq v1.3.0 - Steel Elephant!
    Single-cell/nuclei pipeline for data derived from Oxford Nanopore and 10X Genomics
    Please see the changelog: github.com/nf-core/scnanoseq/r

    #10xgenomics #longreadsequencing #nanopore #rnaseq #rnaseq #scrnaseq #singlecell #nfcore #openscience #nextflow #bioinformatics

  9. Pipeline release! nf-core/scnanoseq v1.3.0 - nf-core/scnanoseq v1.3.0 - Steel Elephant!
    Single-cell/nuclei pipeline for data derived from Oxford Nanopore and 10X Genomics
    Please see the changelog: github.com/nf-core/scnanoseq/r

    #10xgenomics #longreadsequencing #nanopore #rnaseq #rnaseq #scrnaseq #singlecell #nfcore #openscience #nextflow #bioinformatics

  10. 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: github.com/nf-core/differentia

    #atacseq #chipseq #deseq2 #differentialabundance #differentialexpression #gsea #limma #microarray #rnaseq #shiny #nfcore #openscience #nextflow #bioinformatics

  11. 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: github.com/nf-core/differentia

    #atacseq #chipseq #deseq2 #differentialabundance #differentialexpression #gsea #limma #microarray #rnaseq #shiny #nfcore #openscience #nextflow #bioinformatics

  12. 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: github.com/nf-core/differentia

    #atacseq #chipseq #deseq2 #differentialabundance #differentialexpression #gsea #limma #microarray #rnaseq #shiny #nfcore #openscience #nextflow #bioinformatics

  13. 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: github.com/nf-core/differentia

    #atacseq #chipseq #deseq2 #differentialabundance #differentialexpression #gsea #limma #microarray #rnaseq #shiny #nfcore #openscience #nextflow #bioinformatics

  14. 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: github.com/nf-core/differentia

    #atacseq #chipseq #deseq2 #differentialabundance #differentialexpression #gsea #limma #microarray #rnaseq #shiny #nfcore #openscience #nextflow #bioinformatics

  15. New co-authored manuscript on liver cancer multi-omics:

    Integrated Multi-omic Analyses Reveal Novel Gene-Metabolite Relationships in Human Steatohepatitic Hepatocellular Carcinoma
    Anspach et al., jlr.org/article/S0022-2275(26)

    8 patients, *paired samples* of cancer and adjacent normal!! (made the statistics so nice to work with and look for correlations between rna-seq and metabolomics).

    #Bioinformatics #Metabolomics #RNASeq

  16. New co-authored manuscript on liver cancer multi-omics:

    Integrated Multi-omic Analyses Reveal Novel Gene-Metabolite Relationships in Human Steatohepatitic Hepatocellular Carcinoma
    Anspach et al., jlr.org/article/S0022-2275(26)

    8 patients, *paired samples* of cancer and adjacent normal!! (made the statistics so nice to work with and look for correlations between rna-seq and metabolomics).

    #Bioinformatics #Metabolomics #RNASeq

  17. When I first tried to assemble transcripts from #RNASeq data, I often wished for a handy overview of the #bioinformatics pipeline, from acquiring sequencer data to attaching descriptions to protein sequences. This video is my attempt to fill that gap, building upon our 2021 paper identifying proteins in #chia (Salvia hispanica) based on assembled transcript sequences. I hope you enjoy it!

    youtube.com/watch?v=ZtJWaWrTXyA

  18. When I first tried to assemble transcripts from #RNASeq data, I often wished for a handy overview of the #bioinformatics pipeline, from acquiring sequencer data to attaching descriptions to protein sequences. This video is my attempt to fill that gap, building upon our 2021 paper identifying proteins in #chia (Salvia hispanica) based on assembled transcript sequences. I hope you enjoy it!

    youtube.com/watch?v=ZtJWaWrTXyA

  19. When I first tried to assemble transcripts from #RNASeq data, I often wished for a handy overview of the #bioinformatics pipeline, from acquiring sequencer data to attaching descriptions to protein sequences. This video is my attempt to fill that gap, building upon our 2021 paper identifying proteins in #chia (Salvia hispanica) based on assembled transcript sequences. I hope you enjoy it!

    youtube.com/watch?v=ZtJWaWrTXyA

  20. When I first tried to assemble transcripts from #RNASeq data, I often wished for a handy overview of the #bioinformatics pipeline, from acquiring sequencer data to attaching descriptions to protein sequences. This video is my attempt to fill that gap, building upon our 2021 paper identifying proteins in #chia (Salvia hispanica) based on assembled transcript sequences. I hope you enjoy it!

    youtube.com/watch?v=ZtJWaWrTXyA

  21. When I first tried to assemble transcripts from #RNASeq data, I often wished for a handy overview of the #bioinformatics pipeline, from acquiring sequencer data to attaching descriptions to protein sequences. This video is my attempt to fill that gap, building upon our 2021 paper identifying proteins in #chia (Salvia hispanica) based on assembled transcript sequences. I hope you enjoy it!

    youtube.com/watch?v=ZtJWaWrTXyA

  22. Eight frontier LLMs, one RNA-seq dataset. We had them reproduce a published Candida auris analysis by using Orbit to drive Galaxy.

    Six models independently replicated the original SCF1 downregulation finding—while their API costs varied 47× ($2.82–$131.83).

    Read what we learned: galaxyproject.org/news/2026-06

    #UseGalaxy #RNAseq #AI #LLM #Bioinformatics

  23. Eight frontier LLMs, one RNA-seq dataset. We had them reproduce a published Candida auris analysis by using Orbit to drive Galaxy.

    Six models independently replicated the original SCF1 downregulation finding—while their API costs varied 47× ($2.82–$131.83).

    Read what we learned: galaxyproject.org/news/2026-06

    #UseGalaxy #RNAseq #AI #LLM #Bioinformatics

  24. Pipeline release! nf-core/rnavar v1.3.0 - nf-core/rnavar 1.3.0 - Silent Nostromo!
    gatk4 RNA variant calling pipeline
    Please see the changelog: github.com/nf-core/rnavar/rele

    #gatk4 #rna #rnaseq #variantcalling #worflow #nfcore #openscience #nextflow #bioinformatics

  25. Pipeline release! nf-core/rnavar v1.3.0 - nf-core/rnavar 1.3.0 - Silent Nostromo!
    gatk4 RNA variant calling pipeline
    Please see the changelog: github.com/nf-core/rnavar/rele

    #gatk4 #rna #rnaseq #variantcalling #worflow #nfcore #openscience #nextflow #bioinformatics

  26. Kind of nuts that one can make all of these cards for offloading with clang (AMD requires cosplaying as a different architecture) via @openmp_arb

    True performance portability
    #GPU #openmp
    Time to try slorado now #RNAseq!
    amd.com/en/blogs/2025/breaking
    biorxiv.org/content/10.64898/2

  27. Kind of nuts that one can make all of these cards for offloading with clang (AMD requires cosplaying as a different architecture) via @openmp_arb

    True performance portability
    #GPU #openmp
    Time to try slorado now #RNAseq!
    amd.com/en/blogs/2025/breaking
    biorxiv.org/content/10.64898/2

  28. Kind of nuts that one can make all of these cards for offloading with clang (AMD requires cosplaying as a different architecture) via @openmp_arb

    True performance portability
    #GPU #openmp
    Time to try slorado now #RNAseq!
    amd.com/en/blogs/2025/breaking
    biorxiv.org/content/10.64898/2

  29. Kind of nuts that one can make all of these cards for offloading with clang (AMD requires cosplaying as a different architecture) via @openmp_arb

    True performance portability
    #GPU #openmp
    Time to try slorado now #RNAseq!
    amd.com/en/blogs/2025/breaking
    biorxiv.org/content/10.64898/2

  30. Kind of nuts that one can make all of these cards for offloading with clang (AMD requires cosplaying as a different architecture) via @openmp_arb

    True performance portability
    #GPU #openmp
    Time to try slorado now #RNAseq!
    amd.com/en/blogs/2025/breaking
    biorxiv.org/content/10.64898/2

  31. Kind of nuts that one can make all of these cards for offloading with clang (AMD requires cosplaying as a different architecture) via @[email protected] . True performance portability #GPU #openmp Time to try slorado now #RNAseq! www.amd.com/en/blogs/202... www.biorxiv.org/content/10.6...

  32. Kind of nuts that one can make all of these cards for offloading with clang (AMD requires cosplaying as a different architecture) via @[email protected] . True performance portability #GPU #openmp Time to try slorado now #RNAseq! www.amd.com/en/blogs/202... www.biorxiv.org/content/10.6...

  33. Low-hanging fruit: everyone sees it, few actually pick it up 🍎🍇🍉🍓🫐🍒

    Our latest preprint explores dark pigmentation in blackberry, a plant characterized by low-hanging fruit. The combination of genomics and transcriptomics reveals insights into the genetics of pigment biosynthesis. High levels of cyanidin-3-O-glucoside were identified in blackberries, which may explain their dark coloration.

    Read more: doi.org/10.64898/2026.05.05.72

    #PlantSciences #Pigments #Fruits #Genomics #RNAseq
    @PuckerLab

  34. Low-hanging fruit: everyone sees it, few actually pick it up 🍎🍇🍉🍓🫐🍒

    Our latest preprint explores dark pigmentation in blackberry, a plant characterized by low-hanging fruit. The combination of genomics and transcriptomics reveals insights into the genetics of pigment biosynthesis. High levels of cyanidin-3-O-glucoside were identified in blackberries, which may explain their dark coloration.

    Read more: doi.org/10.64898/2026.05.05.72

    #PlantSciences #Pigments #Fruits #Genomics #RNAseq
    @PuckerLab

  35. Pipeline release! nf-core/rnaseq v3.26.0 - nf-core/rnaseq v3.26.0 - Chromium Cuttlefish!
    RNA sequencing analysis pipeline using STAR, RSEM, HISAT2 or Salmon with gene/isoform counts and extensive quality control.
    Please see the changelog: github.com/nf-core/rnaseq/rele

    #rna #rnaseq #nfcore #openscience #nextflow #bioinformatics

  36. Pipeline release! nf-core/rnaseq v3.26.0 - nf-core/rnaseq v3.26.0 - Chromium Cuttlefish!
    RNA sequencing analysis pipeline using STAR, RSEM, HISAT2 or Salmon with gene/isoform counts and extensive quality control.
    Please see the changelog: github.com/nf-core/rnaseq/rele

    #rna #rnaseq #nfcore #openscience #nextflow #bioinformatics

  37. Pipeline release! nf-core/rnaseq v3.25.0 - nf-core/rnaseq v3.25.0 - Plutonium Pangolin!
    RNA sequencing analysis pipeline using STAR, RSEM, HISAT2 or Salmon with gene/isoform counts and extensive quality control.
    Please see the changelog: github.com/nf-core/rnaseq/rele

    #rna #rnaseq #nfcore #openscience #nextflow #bioinformatics