Pascal Martin

2.7K posts

Pascal Martin banner
Pascal Martin

Pascal Martin

@PgpMartin

Senior Research Specialist (IR) @INRAE_France Gene Expression #genomics #transcription #chromatin #bioinformatics #rstats @pgpmartin.fr on bluesky Tweets my own

Bordeaux, France 가입일 Ağustos 2015
2K 팔로잉745 팔로워
Pascal Martin 리트윗함
Joachim Schork
Joachim Schork@JoachimSchork·
Visualize genomic data with ease using gggenomes, an R package that extends ggplot2 to handle and display genomic information intuitively. Whether you’re comparing genomes, analyzing features, or showcasing synteny, gggenomes provides the tools you need to turn complex genomic data into clear, informative visualizations. Why use gggenomes? ✔️ Genomic-focused visualizations: Specifically designed for handling genomic data, including features, alignments, and comparative analysis. ✔️ Versatile and modular: Create detailed and layered plots for diverse genomic scenarios with flexibility for customization. ✔️ Built on ggplot2: Leverages ggplot2’s familiar framework, making it easy for users to adapt and enhance their visualizations. The example visualization shown here is taken directly from the gggenomes GitHub repository, demonstrating how it transforms genomic data into compelling plots: github.com/thackl/gggenom… Curious to learn more about creating data visualizations in R and using tools like ggplot2 and its extensions? Check out my online course, "Data Visualization in R Using ggplot2 & Friends!" Further details: statisticsglobe.com/online-course-… #tidyverse #statisticsclass #RStats #database #datavis #R #ggplot2 #Python #VisualAnalytics
Joachim Schork tweet media
English
2
90
436
21.7K
Pascal Martin 리트윗함
Patrick Hsu
Patrick Hsu@pdhsu·
Today in @ScienceMagazine, we report a new DNA editing technology to seamlessly write massive changes into the right place in the human genome. The reason gene editing hasn't transformed human health is that current gene editing technologies like CRISPR are very limited. The problem with CRISPR is that it cuts up your DNA, and then hopes that unreliable cellular DNA repair will make the wanted edit. @geochurch famously called it genome vandalism. More precise versions of CRISPR only edit less than 100 bases - often only a single base. Therefore, it's not suited to make large changes safely. However, most diseases are not the result of mutations in one location. Instead, their causes are spread all across the 3 billion base pairs in the genome. We found bridge RNAs in bacterial “jumping genes” that allow us to make safe and arbitrary changes (insert, cut out, or flip) to every nucleotide within (up to) a 1 million bp sequence in your DNA. In the paper, we show that we can correct the disease-causing DNA repeats that cause Friedreich's ataxia (which is a rare neurological disease). The same approach could be applied to Huntington’s and other repeat expansion disorders. At @arcinstitute, we're working towards a full Turing machine for biology. Evo, our DNA foundation model, helps us design the optimal healthy DNA sequences. And Bridge recombination gives us the ability to seamlessly write these changes into the right place in the genome. This work was a wonderful collaboration with my @arcinstitute cofounder @SKonermann and led by the indefatigable @ntperry13, alongside our amazing bridge editing team: @BartieLiam @dhruvakatrekar @Gabogonzalez515 @mgdurrant @james_jw_pai @AlisonFanton Juliana Martins Masa Hiraizumi @chiaroscurale @hnisimasu
Patrick Hsu tweet mediaPatrick Hsu tweet media
Patrick Hsu@pdhsu

What if we could universally recombine, insert, delete, or invert any two pieces of DNA? In back-to-back @Nature papers, we report the discovery of bridge RNAs and 3 atomic structures of the first natural RNA-guided recombinase - a new mechanism for programmable genome design

English
76
664
3K
670.1K
Pascal Martin 리트윗함
Ana Fiszbein
Ana Fiszbein@anafiszbein·
Happy to share our new computational pipeline to predict the protein functional consequences of alternative RNA processing events: biorxiv.org/content/10.110…
English
2
16
86
9K
Pascal Martin 리트윗함
Anshul Kundaje
Anshul Kundaje@anshulkundaje·
This a really exciting leap forward for genomic sequence to activity gene regulation models. It is a genuine improvement over pretty much all SOTA models spanning a wide range of regulatory, transcriptional and post-transcriptional processes. 1/
Pushmeet Kohli@pushmeet

Happy to introduce AlphaGenome, @GoogleDeepMind's new AI model for genomics. AlphaGenome offers a comprehensive view of the human non-coding genome by predicting the impact of DNA variations. It will deepen our understanding of disease biology and open new avenues of research.

English
2
48
268
42.3K
Pascal Martin 리트윗함
Kuan-Hao Chao
Kuan-Hao Chao@KuanHaoChao·
Excited to introduce LiftOn – an open-source tool for accurate liftover of genome annotations (GFF) across assemblies. 🚀 👉 Code &community: github.com/Kuanhao-Chao/L… It’s been incredibly rewarding building this for the genomics community. Thank you to all collaborators/friends!
JHU Computer Science@JHUCompSci

Genome annotation is falling behind how fast genomes can be assembled—but Johns Hopkins researchers @KuanHaoChao, @StevenSalzberg1, @elapertea, @alaina_shumate, @celinehohzm, & @alan_mayonnaise (+ @JakobHeinz9) have created a tool that can change that: cs.jhu.edu/news/solving-t…

English
0
17
57
6.4K
Pascal Martin 리트윗함
Anshul Kundaje
Anshul Kundaje@anshulkundaje·
Love this work from @KexinHuang5 + colleagues. An AI co-pilot in my view is a very useful, practical framing of using agents to enhance the efficiency of biomedical science. Also appreciate @KexinHuang5 's grounded presentation of his work. This was clearly an immense effort
Kexin Huang@KexinHuang5

📢 Introducing Biomni - the first general-purpose biomedical AI agent. Biomni is built on the first unified environment for biomedical agent with 150 tools, 59 databases, and 106 software packages and a generalist agent design with retrieval, planning, and code as action. This enables Biomni to perform a wide range of research tasks - from literature review, hypothesis generation, protocol design, data analysis, clinical reasoning, and much more - across subfields like genomics, microbiome, physiology, and beyond. Some key results: 🔬 Designed a molecular cloning experiment validated in wet lab, matching the performance of a >5-year expert in a blinded test 📊 Completed a wearable bioinformatics analysis across 458 messy files in 35 min vs. 3 weeks by a human 🧠 Uncovered novel transcription factor hypotheses driving skeletal lineage regulation We built a web platform where biomedical scientists can immediately delegate their tasks to the agent today, completely free! 🧪 Try it now: biomni.stanford.edu 📄 Paper: biomni.stanford.edu/paper.pdf 💻 Code: github.com/snap-stanford/… (will be fully open-sourced very soon!) 💬Join the community: tinyurl.com/biomni-slack Biomni is an open-source initiative: we invite the community to build on it and advance biomedical research at scale. With amazing collaborators @StanfordAILab @StanfordMed @StanfordCancer @genentech @arcinstitute @UCSF @UW @PrincetonAInews @serena2z @hcwww_ @YuanhaoQ @mintaylu @yusufroohani @RyanLi0802 @LinQiu0128 Gavin Junze Di Shruti Jennefer Xin Zhou @MWheelerMD Jon Bernstein @MengdiWang10 @PengHeAtlas @SnyderShot @lecong Aviv Regev @jure

English
0
3
39
3.9K
Pascal Martin 리트윗함
Heng Li
Heng Li@lh3lh3·
Minimap2-2.29 released with the support of short RNA-seq read alignment. More explanation and results here: lh3.github.io/2025/04/18/sho…
English
1
49
161
12K
Pascal Martin 리트윗함
Timothy
Timothy@tim_stasevich·
Making intrabodies from antibodies just got easier! Learn how we made 𝟭𝟵 intrabodies to bind and light up peptides and histone modifications in live cells. And thanks to Academia, all sequences are freely available. (video credit: Yuko Sato @YukoSatoT2) biorxiv.org/content/10.110…
English
6
60
214
23.2K
Pascal Martin 리트윗함
Steve Jacobsen
Steve Jacobsen@SJacobsenUCLA·
Why is it that gene promoters are so good at avoiding DNA methylation? Work from Ming Wang, Yan He et al., shows that H3K4me3, enriched at promoters, acts as an anti-DNA methylation mark by recruiting DNA demethylase enzymes! Nice work guys! rdcu.be/d9rPo
English
2
36
93
4.7K
Pascal Martin 리트윗함
EpiCypher, Inc.
EpiCypher, Inc.@epicypher·
Fun #epgienetics review for Sunday! Histone PTMs and DNA-templated processes (e.g. transcription) are deeply linked, but the mechanisms driving their cross-talk remain unclear. López-Hernández et al. cover the latest research on this key question - Enjoy! cell.com/molecular-cell…
English
0
15
77
6.6K
Pascal Martin 리트윗함
Ryan Wick
Ryan Wick@rrwick·
New year, new assemblies! I'm excited to announce Autocycler, my new tool for consensus assembly of long-read bacterial genomes! It's the successor to Trycycler, designed to be faster and less reliant on user intervention. Check it out: github.com/rrwick/Autocyc… (1/5)
English
5
117
261
15.6K
Pascal Martin 리트윗함
SFBI
SFBI@SfbiFr·
📢 Appel à propositions pour les mini #symposiums pour @JOBIM2025 ➡️ deadline : 17/01/2025 18h ➡️ objectif : réunir des scientifiques autour de thématiques spécialisées en #bioinformatique ➡️ durée : 3 heures ➡️ autofinancement (enveloppe de soutien possible via la #SFBI)
SFBI tweet media
Français
0
8
7
774
Pascal Martin 리트윗함
Luciano Martelotto 🛠🧬💻🇦🇺
Single Cell & Spatial Transcriptomics Analysis @cshlcourses @CSHL Key Dates Application Deadline: March 15th, 2025 Arrival: June 26th by 6pm EST Departure: July 14th around 12pm EST Topics -Droplet-based single cell RNA-seq using RNA Flex Technology. -Single-Cell Imaging using Single cell Transcriptomics And Multimodal Profiling though imaging (STAMP) using Xenium Technology. -Spatial Transcriptomics of tissues using Visium HD -Single-Cell Western blot -Single-Cell Mass Spectrometry -Photoactivatable Single cell probes -Introduction to Bioinformatics (R/Python) -Single-Cell and Spatial Transctiptomics Bioinformatics and more! Amazing evening speakers too! meetings.cshl.edu/courses.aspx?c…
English
0
15
38
5.1K