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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/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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 🧬 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

  22. 🧬 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

  23. 🧬 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

  24. 🧬 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

  25. 🧬 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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."

  32. 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."

  33. 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."

  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."