Maximillian Marin
@maxgmarin
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Researcher studying genomics and infectious disease at Harvard Medical School.
Boston, MA
Joined April 2018
RT @YEktefaie: Excited to announce SPECTRA has been published in Nature Machine Intelligence! Use this link to access the paper: https://t.…
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RT @sdeorowicz: AGC 3.2 (assembled genome compressor) has been released. Better speed, better ratio (at least for bacteria genomes), option…
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RT @johngreen: Hi! My new book, Everything Is Tuberculosis, comes out March 18th. I'm signing 100,000 copies of it. You can preorder your s…
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RT @MahaFarhat: Full house and overflow for inaugural @BIG_Harvard_PhD visiting Professor lecture by @stephaniehicks on ‘methods for spatia…
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RT @abigailmfrey: Sydney may not be on here but you should still check out the first work published from her PhD dissertation! Lactate in t…
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@noah_legall My goal w/ panqc was to provide a tool that allows you to quickly focus on complete GAIN & LOSS of DNA sequences in the context of Panaroo analysis. The assumptions are simple but hopefully transparent :) If things are getting in the way of making panqc usable, let me know.
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I am happy to chat though! Let me know. I think Mtb is an interesting case because there is a lot of repetitive regions and paralogs that can complicate pan-genome analysis.
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Please reach out if you have any questions or comments! I have made all of the assemblies (Mtb & E. coli) used for benchmarking & comparison available on Zenodo. (17/17)
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