@ryanlayer

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

 Boulder, CO
layerlab.org
Joined October 2008
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  • 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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I am sad to be missing #GI2023, but please check out talks from Christopher and @kschneider_cu on Friday, posters #60 from @michael_boulder and #57 from Morteza Baradar on Thursday, and poster #178 from Xinchang Zhen and @sedlazeck on Friday.
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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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Excited about @michael_boulder's 1st 1st-author paper biorxiv.org/content/10.1101/… Mixed STRING & @hp_ontology. Used time-series learning to id co-clustered genes/traits that may explain unsolved cases. Tested on MyGene2 & @ChildrensColo patients. Slick GUI at ryanlayerlab.github.io/BOCC/)

HYPOTHESIS GENERATION FOR RARE AND UNDIAGNOSED DISEASES THROUGH CLUSTERING AND CLASSIFYING TIME-V...

Rare diseases affect 1-in-10 people in the United States and despite increased genetic testing, up to half never receive a diagnosis. Even when using advanced genome sequencing platforms to discover...

biorxiv.org
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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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My lab has open positions for developing innovative methods at cross roads of genomics, algorithms, and machine learning. Apply here jobs.colorado.edu/jobs/JobDe… if you have your MS and here jobs.colorado.edu/jobs/JobDe… if you have your PhD. Reach out to me directly if you have questions.
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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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Congrats to Murad Chowdhury! His #ASHG22 poster got a Reviewers Choice Award. Check it out for yourself how he is using population-scale data to improve samplot #SV visualization. PB2317 Thursday 10/27 3-445. github.com/ryanlayer/samplot
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Apps are open for Interdisciplinary Quantitative Biology #PhD Program at @CUBoulder @BioFrontiers Learn both sides of #quantitative #biology with funded rotations through wet and dry labs among 11 departments. colorado.edu/certificate/iqb…
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You are in luck! @BioFrontiers is hiring 2+ asst profs in any area, as long as it's interdisciplinary. Work with some truly impressive people like NSF Waterman awardee @DanLarremore NIH Pioneer @Sara_Sawyer_, HMMIs, NASs, nobel laureate, and, you know, me! jobs.colorado.edu/jobs/JobDe…
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Great.
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Our work on integrating population data into SV analysis can be found at github.com/ryanlayer/stix and github.com/ryanlayer/samplot If you missed the talk check out this recording youtu.be/TsekM1VjFrA #GI2022
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False negatives are killers in SV detection @ryanlayer #GI2022
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Plenty of time to get your {long-read | short-read | machine learning | genotype} x { SV | CNV | TE | SNV} method into the #bibm2022 workshop on Computational methods to characterize genomic variants using high-throughput sequencing data in Vegas, Dec 6-9 combioconference.github.io/b…

Computational methods to characterize genomic variants using high-throughput sequencing data

combioconference.github.io
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