#rnaseq — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #rnaseq, aggregated by home.social.
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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: https://github.com/nf-core/rnaseq/releases/tag/3.26.0 -
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: https://github.com/nf-core/rnaseq/releases/tag/3.26.0 -
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: https://github.com/nf-core/rnaseq/releases/tag/3.26.0 -
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: https://github.com/nf-core/rnaseq/releases/tag/3.26.0 -
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: https://github.com/nf-core/rnaseq/releases/tag/3.26.0 -
RE: https://mstdn.science/@nf_core/116460527673313236
kudos to my internship student who added stringtie_merge to the workflow. 🥳
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RE: https://mstdn.science/@nf_core/116460527673313236
kudos to my internship student who added stringtie_merge to the workflow. 🥳
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RE: https://mstdn.science/@nf_core/116460527673313236
kudos to my internship student who added stringtie_merge to the workflow. 🥳
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RE: https://mstdn.science/@nf_core/116460527673313236
kudos to my internship student who added stringtie_merge to the workflow. 🥳
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RE: https://mstdn.science/@nf_core/116460527673313236
kudos to my internship student who added stringtie_merge to the workflow. 🥳
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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: https://github.com/nf-core/rnaseq/releases/tag/3.25.0 -
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: https://github.com/nf-core/rnaseq/releases/tag/3.25.0 -
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: https://github.com/nf-core/rnaseq/releases/tag/3.25.0 -
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: https://github.com/nf-core/rnaseq/releases/tag/3.25.0 -
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: https://github.com/nf-core/rnaseq/releases/tag/3.25.0 -
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: https://lnkd.in/gQcHggGF
#Bioinformatics #RNAseq #scRNAseq #Genomics #ReproducibleResearch #OpenScience #RStats
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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: https://lnkd.in/gQcHggGF
#Bioinformatics #RNAseq #scRNAseq #Genomics #ReproducibleResearch #OpenScience #RStats
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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: https://lnkd.in/gQcHggGF
#Bioinformatics #RNAseq #scRNAseq #Genomics #ReproducibleResearch #OpenScience #RStats
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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: https://lnkd.in/gQcHggGF
#Bioinformatics #RNAseq #scRNAseq #Genomics #ReproducibleResearch #OpenScience #RStats
-
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: https://lnkd.in/gQcHggGF
#Bioinformatics #RNAseq #scRNAseq #Genomics #ReproducibleResearch #OpenScience #RStats
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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: https://github.com/nf-core/rnaseq/releases/tag/3.24.0 -
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: https://github.com/nf-core/rnaseq/releases/tag/3.24.0 -
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: https://github.com/nf-core/rnaseq/releases/tag/3.24.0 -
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: https://github.com/nf-core/rnaseq/releases/tag/3.24.0 -
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: https://github.com/nf-core/rnaseq/releases/tag/3.24.0 -
🧬 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: https://doi.org/10.34133/csbj.0039
📚 CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj
#ArtificialIntelligence #MachineLearning #Bioinformatics #Genomics #RNAseq #ComputationalBiology #SystemsBiology #AI #PrecisionMedicine #BigData #AIinHealthcare
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🧬 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: https://doi.org/10.34133/csbj.0039
📚 CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj
#ArtificialIntelligence #MachineLearning #Bioinformatics #Genomics #RNAseq #ComputationalBiology #SystemsBiology #AI #PrecisionMedicine #BigData #AIinHealthcare
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🧬 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: https://doi.org/10.34133/csbj.0039
📚 CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj
#ArtificialIntelligence #MachineLearning #Bioinformatics #Genomics #RNAseq #ComputationalBiology #SystemsBiology #AI #PrecisionMedicine #BigData #AIinHealthcare
-
🧬 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: https://doi.org/10.34133/csbj.0039
📚 CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj
#ArtificialIntelligence #MachineLearning #Bioinformatics #Genomics #RNAseq #ComputationalBiology #SystemsBiology #AI #PrecisionMedicine #BigData #AIinHealthcare
-
🧬 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: https://doi.org/10.34133/csbj.0039
📚 CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj
#ArtificialIntelligence #MachineLearning #Bioinformatics #Genomics #RNAseq #ComputationalBiology #SystemsBiology #AI #PrecisionMedicine #BigData #AIinHealthcare
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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. -
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. -
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. -
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. -
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. -
"Cellular morphology emerges from polygenic, distributed transcriptional variation", Paylakhi et al. 2026
https://www.biorxiv.org/content/10.64898/2026.03.12.711281v1 -
"Cellular morphology emerges from polygenic, distributed transcriptional variation", Paylakhi et al. 2026
https://www.biorxiv.org/content/10.64898/2026.03.12.711281v1 -
"Cellular morphology emerges from polygenic, distributed transcriptional variation", Paylakhi et al. 2026
https://www.biorxiv.org/content/10.64898/2026.03.12.711281v1 -
"Cellular morphology emerges from polygenic, distributed transcriptional variation", Paylakhi et al. 2026
https://www.biorxiv.org/content/10.64898/2026.03.12.711281v1 -
"Cellular morphology emerges from polygenic, distributed transcriptional variation", Paylakhi et al. 2026
https://www.biorxiv.org/content/10.64898/2026.03.12.711281v1 -
Pipeline release! nf-core/rnafusion v4.1.0 - 4.1.0!
Please see the changelog: https://github.com/nf-core/rnafusion/releases/tag/4.1.0
#fusion #fusiongenes #genefusion #rna #rnaseq #nfcore #openscience #nextflow #bioinformatics
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Pipeline release! nf-core/rnafusion v4.1.0 - 4.1.0!
Please see the changelog: https://github.com/nf-core/rnafusion/releases/tag/4.1.0
#fusion #fusiongenes #genefusion #rna #rnaseq #nfcore #openscience #nextflow #bioinformatics
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Pipeline release! nf-core/rnafusion v4.1.0 - 4.1.0!
Please see the changelog: https://github.com/nf-core/rnafusion/releases/tag/4.1.0
#fusion #fusiongenes #genefusion #rna #rnaseq #nfcore #openscience #nextflow #bioinformatics
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Pipeline release! nf-core/rnafusion v4.1.0 - 4.1.0!
Please see the changelog: https://github.com/nf-core/rnafusion/releases/tag/4.1.0
#fusion #fusiongenes #genefusion #rna #rnaseq #nfcore #openscience #nextflow #bioinformatics
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Pipeline release! nf-core/rnafusion v4.1.0 - 4.1.0!
Please see the changelog: https://github.com/nf-core/rnafusion/releases/tag/4.1.0
#fusion #fusiongenes #genefusion #rna #rnaseq #nfcore #openscience #nextflow #bioinformatics