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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/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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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...

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

  26. Join us for a 2-part workshop on Mastering Reproducible Enrichment Analysis! 📊

    Presented by Anusuiya Bora and myself, with a focus on reproducibility and best practices.

    📅 When: 12 and 13 May 2026
    🕑 Time: 2:00 PM – 4:00 PM (AEST)
    📍 Where: Online
    💰 Cost: FREE for academic sector (places are limited!)

    🔗Registration form link: lnkd.in/gQcHggGF

    #Bioinformatics #RNAseq #scRNAseq #Genomics #ReproducibleResearch #OpenScience #RStats

  27. Join us for a 2-part workshop on Mastering Reproducible Enrichment Analysis! 📊

    Presented by Anusuiya Bora and myself, with a focus on reproducibility and best practices.

    📅 When: 12 and 13 May 2026
    🕑 Time: 2:00 PM – 4:00 PM (AEST)
    📍 Where: Online
    💰 Cost: FREE for academic sector (places are limited!)

    🔗Registration form link: lnkd.in/gQcHggGF

    #Bioinformatics #RNAseq #scRNAseq #Genomics #ReproducibleResearch #OpenScience #RStats

  28. Pipeline release! nf-core/rnaseq v3.24.0 - nf-core/rnaseq v3.24.0 - Selenium Seahorse!
    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

  29. Pipeline release! nf-core/rnaseq v3.24.0 - nf-core/rnaseq v3.24.0 - Selenium Seahorse!
    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

  30. 🧬 Can AI truly decode gene expression, or is it being misled by too much data?

    🔗 Artificial Intelligence in Bulk RNA-Seq: Challenges and Potential Solutions. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0039

    📚 CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #ArtificialIntelligence #MachineLearning #Bioinformatics #Genomics #RNAseq #ComputationalBiology #SystemsBiology #AI #PrecisionMedicine #BigData #AIinHealthcare

  31. 🧬 Can AI truly decode gene expression, or is it being misled by too much data?

    🔗 Artificial Intelligence in Bulk RNA-Seq: Challenges and Potential Solutions. Computational and Structural Biotechnology Journal (CSBJ). DOI: doi.org/10.34133/csbj.0039

    📚 CSBJ - A Science Partner Journal: spj.science.org/journal/csbj

    #ArtificialIntelligence #MachineLearning #Bioinformatics #Genomics #RNAseq #ComputationalBiology #SystemsBiology #AI #PrecisionMedicine #BigData #AIinHealthcare

  32. If you are someone who has ever thought running a bunch of samples through recount3 on your own hardware is a good idea, and you are horrid at writing shell scripts to manage it all, I've created a little #RStats package that helps with:

    - running samples through recount-pump and unify;
    - copying unify outputs into a directory that recount3 will see and load;
    - checking your fq.gz files to make sure they aren't bad before running pump.

    moseleybioinformaticslab.githu

    #Bioinformatics #RNASeq

  33. If you are someone who has ever thought running a bunch of samples through recount3 on your own hardware is a good idea, and you are horrid at writing shell scripts to manage it all, I've created a little #RStats package that helps with:

    - running samples through recount-pump and unify;
    - copying unify outputs into a directory that recount3 will see and load;
    - checking your fq.gz files to make sure they aren't bad before running pump.

    moseleybioinformaticslab.githu

    #Bioinformatics #RNASeq

  34. dupRadar keeps breaking @nf_core #rnaseq runs. So as a bit of a joke, I prompted #Claude Code + Seqera AI to rewrite it in Rust. My Slack message:

    "I did a rust rewrite over lunch. I realize that I might have accidentally also made a super fast Rust implementation of featureCounts."

  35. dupRadar keeps breaking @nf_core #rnaseq runs. So as a bit of a joke, I prompted #Claude Code + Seqera AI to rewrite it in Rust. My Slack message:

    "I did a rust rewrite over lunch. I realize that I might have accidentally also made a super fast Rust implementation of featureCounts."