Miquel Anglada-Girotto (m1quelag@bluesky)
@m1quelag
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PhD Candidate @lab_serrano @CRGenomica @BCNCollab - systems approaches to study the role of alternative splicing in cancer. Creator of @SplicingNews
Joined January 2015
Hey all, me and @SplicingNews joined the bluesky community:.
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A highly recommended lab to be!.
🚨🚨🚨.If you're a bioinformatician who loves:. 🧬 #SingleCell #LongReadSequencing & #AlternativeSplicing.🚀 Collaborating and travelling. Apply to work with us at the spectacular @BIMSB_MDC in Berlin + @UPFbiomed-@CRGenomica in Barcelona. Qs: Please RT!🙏
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RT @xavier_heal: Very happy to share our modeling of mRNA translation at the @SCB_iec Bioinformatics and Genomics!.@gagneurlab & Nedialkova….
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RT @imartincorena: Excited to share our latest work. We introduce an improved version of NanoSeq, a duplex sequencing protocol with <5 erro….
medrxiv.org
As we age, many tissues become colonised by microscopic clones carrying somatic driver mutations ([1][1]–[10][2]. Some of these clones represent a first step towards cancer whereas others may...
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RT @MalgorzataRoga1: 🎉Excited to announce that our paper on the blueprint of the human spliceosome is now out in @ScienceMagazine ! A decad….
science.org
The spliceosome is the complex molecular machinery that sequentially assembles on eukaryotic messenger RNA precursors to remove introns (pre-mRNA splicing), a physiologically regulated process...
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Thanks @asalboix and the @OpenBoxSci community for organizing this! It was great to share a glimpse of our latest results on identifying potential cancer driver exons systematically.
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RT @broadinstitute: Single-cell biologists, are you looking for a faster way to annotate cells in your scRNA-seq experiments? Try a tool de….
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RT @lab_serrano: New review from the lab! We take a look at the state of the field of bacterial Live Biotherapeutic Products. Congratulatio….
embopress.org
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RT @gabeElbling: Amazing graphical representation of a neural net, never seen anything like it.
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I bet the models developed after these papers will be very interesting!.
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Machine learning in biology is moving very fast!. In just *two* weeks, two nice benchmarks showing that models predicting changes in gene expression upon perturbation are no better than baselines:. - PertEval-scFM: - Kernfeld etal:
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Foundation model: whatever model large enough only few have the resources to train.
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RT @OpenBoxSci: OBS #Genomics #AI Seminar . TMR! 📆 Tues, 10/15, 11 am ET/5 pm CET .🎙️ Dr. @OmegaPetrazzini at @UniofOxford . 📣 AI-derived p….
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Highly recommended!.
🚨 Postdoc or PhD opportunity! 🕸️ Protein-protein interaction networks face challenges like high error rates and biased degree of certain proteins. Help us improve their quality and develop computational methods to better interpret them! More info: .
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RT @Hannah_Benisty: ⛰️🧬🥾Last weekend 30 @CRGenomica colleagues from both scientific and administration communities teamed up for a pilot #C….
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RT @OpenBoxSci: OBS #Genomics Seminar.📆 Thursday, 9/26, 11 am ET/5 pm CET . 🎙️ .Miquel Anglada Girotto.@m1quelag @CRGenomica .@lab_serrano….
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