@ryanlayer

Making science faster with algorithms. Assistant prof CU Boulder, Computer Science and BioFrontiers.

 Boulder, CO
layerlab.org
Joined October 2008
  • Tweets1.4K
  • Following279
  • Followers1.2K
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How to annotated SV with pop. frequency? Using @PacBio & @nanopore! Gnomad 32% & STIX: 95.9% of SV from @GenomeInABottle annotatable! Huge implications in SV filtering for eg: @GREGoR_research & #cancer & #disease studies! Lead by @wtoxzpw & @ryanlayer biorxiv.org/content/10.1101/…
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STIX: Long-reads based Accurate Structural Variation Annotation at Population Scale biorxiv.org/cgi/content/shor… #biorxiv_bioinfo
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1/n 🌟🐝🔥 New paper alert 🌟🐝🔥 "Embracing firefly flash pattern variability with data-driven species classification" with @nguyenchantal , @RaphaelSarfati , @DieuMyNguyen , M Iuzzolino, M Chowdhury, @ryanlayer, @oritpeleg nature.com/articles/s41598-0…
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🌟 Proud to share a new paper on the flash pattern variability of fireflies! Our work, led by @lepurplemartin & @nguyenchantal in collab with @ryanlayer’s lab, offers new insights into species identification through ML data analysis: nature.com/articles/s41598-0… /1
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HUGE CONGRATS TO @hdashnow! news.cuanschutz.edu/dbmi/har…

Harriet Dashnow, PhD, Joins DBMI Faculty to Research Rare Disease

Harriet Dashnow, PhD, will join the CU Department of Biomedical Informatics in July as an assistant professor focusing on computational research, rare genetic disease, and the discovery of new causal...

news.cuanschutz.edu
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Rare disease research is at the forefront of the DBMI's work. When Harriet Dashnow, PhD, (@hdashnow) joins our team this summer, she will focus on computational research, rare genetic disease, and the discovery of new causal variants. Meet Dr. Dashnow 👇 news.cuanschutz.edu/dbmi/har…

Harriet Dashnow, PhD, Joins DBMI Faculty to Research Rare Disease

Harriet Dashnow, PhD, will join the CU Department of Biomedical Informatics in July as an assistant professor focusing on computational research, rare genetic disease, and the discovery of new causal...

news.cuanschutz.edu
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Hypothesis Generation For Rare and Undiagnosed Diseases Through Clustering and Classifying Time-Versioned Biological Ontologies biorxiv.org/cgi/content/shor… #biorxiv_bioinfo
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I'm looking for talented postdocs and staff scientists/software developers to join my lab at @CUBiomedInfo If you're fascinated by #RareDisease genomics, #STRs and computational methods, please get in touch! I'm at #ASHG2023 this week, and happy to chat. #hiring
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The @jxtxFoundation for Open Science will award six scholarships for the CSHL Biology of Genomes meeting covering full conference registration to outstanding graduate students. Application deadline is February 6, 2023. For details: jxtxfoundation.org/news/2022… @cshlmeetings #bog23

JXTX + CSHL 2023 Biology of Genomes Scholarship

JXTX + CSHL 2023 Biology of Genomes Scholarships

jxtxfoundation.org
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False negatives are killers in SV detection @ryanlayer #GI2022
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ryanlayer retweeted
Moshe Vardi@vardi25 Aug 2022
The toxic culture of rejection in computer science sigbed.org/2022/08/22/the-to…
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😅 & that cheatsheet is c/o a @NumFOCUS small development grant & the awe inspiring @NPRougier
ryanlayer@ryanlayer24 Aug 2022
This @matplotlib cheatsheet is the best thing on the Internet. Maybe I'll try writing my next plotting script from scratch instead of recopying and butchering that one that I got working 10 years ago that now gives all of those depreciation warnings. matplotlib.org/cheatsheets/c…
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Replying to @razoralign @anshulkundaje
Cool. You may want to check out/cite Giggle as related work. nature.com/articles/nmeth.45… @ryanlayer

GIGGLE: a search engine for large-scale integrated genome analysis

Nature Methods - GIGGLE is a genome interval search engine that enables extremely fast queries of genome features from thousands of genome annotation sets.

nature.com
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Congratulations to our @iscb #ISMB2022 Bio-Ontologies Best Paper winner @fred_bstn from @ISBSIB and Best Poster winner @michael_boulder from @CUBoulder !! 🎉🍾😀
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“Identifying the genetic changes that cause healthy cells to become malignant can help doctors select therapies that specifically target the tumor,” said CU Cancer Center member @ryanlayer, assistant professor of @CUCompSci at @CUBoulder. news.cuanschutz.edu/cancer-c…
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Hope to see you in person or online for Genome Informatics this fall! #GI2022
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Tumors contain thousands of genetic changes, but only a few are actually cancer-causing. CU Cancer Center member @ryanlayer and his team are looking into a quicker way to identify these driver mutations that could lead to more targeted cancer treatments. bit.ly/3Q1cgP5
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Can we utilize big data to learn more about cancerous mutations? 🦠🔬 A recent study by @CUBoulder Assistant Professor @RyanLayer and his team uncovers a new method of finding benign and cancerous cells using thousands of DNA samples. Read about it ⤵️ theconversation.com/genetic-…

Genetic mutations can be benign or cancerous – a new method to differentiate between them could...

Tumors contain thousands of genetic changes, but only a few are actually cancer-causing. A quicker way to identify these driver mutations could lead to more targeted cancer treatments.

theconversation.com
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Great work with @ryanlayer @aaronquinlan @brent_p to finally revolutionize SV DB & reliable AF estimation! STIX solves the problem of missing SV & ref bias for SV DB. Showcase in #Cancer filtering somatic calls & prioritization. @naturemethods @BCM_HGSC nature.com/articles/s41592-0…
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New work describes a strategy for estimating the population frequency of structural variations by searching the raw alignments of large population sequencing samples using the STIX framework. @ryanlayer @brent_p @aaronquinlan @sedlazeck OA paper: nature.com/articles/s41592-0…
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