Alexandre Segers (@Alex_Segers_) profile picture

PhD student @lievenClement and @elfridedebaere lab, Developing statistical software for transcriptomics analysis, Ghent University

Ghent
Joined June 2021
Photo by Alexandre Segers (@Alex_Segers_)Photo by Alexandre Segers (@Alex_Segers_)Photo by Alexandre Segers (@Alex_Segers_)
Fast differential usage, aberrant splicing and expression analysis that scales to large RNA-seq data compendia? Check out our preprint to see how juggling offsets unlocks bulk RNA-seq tools for these applications. Great collaboration with @lievenclement and @elfridedebaere lab!
Juggling offsets unlocks RNA-seq tools for fast scalable differential usage, aberrant splicing and expression analyses. biorxiv.org/cgi/content/shor… #bioRxiv
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Alexandre Segers retweeted
Also, regarding this new preprint on differential splicing / transcript usage, see @Alex_Segers_'s helpful answer on @jeremy_m_simon's Bioconductor support site post: support.bioconductor.org/p/9… xitter.cf/Alex_Segers_/status/16…
Fast differential usage, aberrant splicing and expression analysis that scales to large RNA-seq data compendia? Check out our preprint to see how juggling offsets unlocks bulk RNA-seq tools for these applications. Great collaboration with @lievenclement and @elfridedebaere lab!
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saseR dramatically 💫 boosts the performance for aberrant splicing. Work from @Alex_Segers_ & @lievenClement, great collab with @GilisJeroen @mvheetve @elfridedebaere @RAREMED1 @ResearchUGent @FWOvlaanderen #RNAseq #diagnosis #raredisease #splicing #expression #differentialusage
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📢 Important & cool paper alert! 📢 saseR is a Scalable Aberrant Splicing and Expression Retrieval framework that outperforms existing tools (e.g. DEXSeq, OUTRIDER, OutSingle, FRASER) in terms of computational speed and scalability 👇
Fast differential usage, aberrant splicing and expression analysis that scales to large RNA-seq data compendia? Check out our preprint to see how juggling offsets unlocks bulk RNA-seq tools for these applications. Great collaboration with @lievenclement and @elfridedebaere lab!
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And last but not least, we also show that using saseR improves power significantly to detect aberrant splicing events.
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saseR can further be used for many different applications that model proportions, and allows both short- and long-read sequencing data. It will soon be submitted to Bioconductor.
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Alexandre Segers retweeted
Fast differential usage, aberrant splicing and expression analysis that scales to large RNA-seq data compendia? Check @Alex_Segers_ preprint to see how juggling offsets unlocks bulk RNA-seq tools for these applications. Great collaboration with @elfridedebaere lab and @RAREMED1
Juggling offsets unlocks RNA-seq tools for fast scalable differential usage, aberrant splicing and expression analyses. biorxiv.org/cgi/content/shor… #bioRxiv
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