Sam Modlin

@sam_modlin

Principal Bioinformatics Software Engineer, Roche | Data-centric views of the natural world

San Diego, CA

linktr.ee/modlin

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Sam Modlin
@sam_modlin
Oct 27, 2020
Our work on DNA methylation in M. tuberculosis is finally out in @eLife! elifesciences.org/articles/58542 Using sequencing kinetics and @PacBio long reads, we fully assembled DNA methylomes from 93 phylogeographically diverse clinical Mycobacterium tuberculosis complex isolates. (1/7)
elifesciences.org
Drivers and sites of diversity in the DNA adenine methylomes of 93 Mycobacterium tuberculosis...
Fully assembled DNA methylomes from phylogeographically diverse clinical Mycobacterium tuberculosis complex isolates reveals 'intercellular mosaic methylation' as a source of epigenetic diversity.
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Sam Modlin
@sam_modlin
Jan 7, 2025
1/ 🎉 Excited to share our lab’s latest work: “Intercellular mosaic methylation in fast-growing Mycobacterium tuberculosis clinical isolates,” now published in @NAR_Open Molecular Medicine: tinyurl.com/tb-imm Huge thanks to my co-first author, Maryam Ahmadi Jeshvaghane!
Intercellular mosaic methylation in fast-growing Mycobacterium tuberculosis clinical isolates
From academic.oup.com
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Sam Modlin
@sam_modlin
Apr 6, 2023
Very happy to have our latest work published in Drug Resistance Updates. It highlights an interesting, clinically important case where targeted molecular diagnostics fail to correctly classify drug-resistant TB due to primer evasion.
Faramarz Valafar
@FaramarzValafar
Apr 6, 2023
Proud of latest article from @Valafarlab led by @sam_modlin, published by Drug Resistance Updates. We show how minority PZA-susceptible #TB population in a sample can prevent detection of the majority resistant population by targeted molecular diagnostics. doi.org/10.1016/j.drup…
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Sam Modlin
@sam_modlin
Nov 2, 2022
Join us in San Diego! 🌅🔬🦭🧫🐠💻🐟 Work with high-quality long read sequencing data and other cutting edge profiling of interesting TB samples. And exciting opportunities in the wet-lab to improve on current methods and test data-driven hypotheses! DM me or @FaramarzValafar
Faramarz Valafar
@FaramarzValafar
Nov 2, 2022
. @Valafarlab has several predoctoral & postdoctoral positions open. We are focused on Tuberculosis. We house a wet and a dry lab. Members work on all aspects of TB Research: mutagenesis, phenotyping, informatics, ML/AI, evolution, phylogeny, systems biology, metabolic modeling
Sam Modlin
@sam_modlin
Nov 1, 2022
Cool read from @ewencallaway on protein structure AI from @Meta. My 2 cents -- Protein structures are often highly dependent on their microenvironment. Might the 60x structure prediction speed-up be most useful in exploring the context-dependence of protein structures?
Ewen Callaway
@ewencallaway
Nov 1, 2022
Meta just dropped 600+ million protein structure predictions, made using a large language model. My latest for @Nature nature.com/articles/d4158… 1/3
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