Data Scientist @nygenome

Joined July 2012
10 Photos and videos
Rajeeva Lochan Musunuri retweeted
Very happy to officially share the high-coverage 1000 Genomes Project (1kGP) whole-genome sequencing (WGS) resource, out today in @CellCellPress! cell.com/cell/fulltext/S0092… (1/7)

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Rajeeva Lochan Musunuri retweeted
My team @nygenome is growing. Looking for a highly motivated, detail-oriented Bioinformatics Programmer to help us develop novel tools for whole-genome sequencing data analysis. Please spread the word: nygenome-openhire.silkroad.c…

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Rajeeva Lochan Musunuri retweeted
16 Mar 2020
From @lh3lh3 et al., if you were waiting for a description of what minigraph (lh3.github.io/minigraph) is doing that's higher-level than the C code :) . Looks like an exciting read!

The design and construction of reference pangenome graphs. arxiv.org/abs/2003.06079
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Rajeeva Lochan Musunuri retweeted
Long walk to genomics: History and current approaches to genome sequencing and assembly sciencedirect.com/science/ar…

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Rajeeva Lochan Musunuri retweeted
9 Nov 2019
CNVs should be classified consistently between patients based on evidence, with a discussion of clinical significance for individual patient in the report say ACMG & @ClinGenResource in new technical standards go.nature.com/2CjrvhO #CNVs #medicalgenetics @AMPath @GeneticCouns

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Rajeeva Lochan Musunuri retweeted
Replying to @lizworthey
@lizworthey: Clinical review of 200 variants per patient takes about 3 hours. Variant fatigue is real! This needs to be faster #gi2019
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Rajeeva Lochan Musunuri retweeted
1/ shapley values (and the Python shap package) have become an *integral* part of my machine learning methodology I’m surprised by how many people still don’t know about them github.com/slundberg/shap
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Rajeeva Lochan Musunuri retweeted
the oom (out of memory) killer
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Rajeeva Lochan Musunuri retweeted
26 May 2019
Bioinformatician: Annotate all the data. Insights will be obvious! Statistical geneticist: Cluster and plot big data. Insights will be obvious! Software Engineer: Make an API to the data. Insights will be obvious! PhD Advisor: Stare at data. Insights are obvious!
Big data: Create huge datasets. Insights will be obvious! Data science: Play with data. Visualize it. Insights will be obvious! Machine learning: Feed data into cool algorithms. Insights will be obvious! Statistics: The insights will never obvious. #epitwitter #statstwitter
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Rajeeva Lochan Musunuri retweeted
23 May 2019
Jason Chin @infoecho introduces hierarchical minimizers and minimizer pair binning to compute human genome assemblies in < 2 hours from high accuracy long reads. simple and beautiful. best #SFAF2019 talk for me!
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Rajeeva Lochan Musunuri retweeted
Our new work on understanding the architecture of complex traits "Trans effects on gene expression can drive omnigenic inheritance" is out today cell.com/cell/fulltext/S0092… Great collaboration with @XuanyaoLiu @yang_i_li
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Rajeeva Lochan Musunuri retweeted
Population structure in the age of large-scale genotyped studies em.rdcu.be/wf/click?upn=lMZy…

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Rajeeva Lochan Musunuri retweeted
19 Apr 2019
Let's talk about references and citations. References help readers discover relevant work and reproduce results. 1/N
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Rajeeva Lochan Musunuri retweeted
There's a ton of pedantry in programming. This may be confusing until you realize that programmers spend 8 hours a day working with the world's most irritating pedant -- the computer. And the computer is .. kind of an a-hole to be honest.
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Rajeeva Lochan Musunuri retweeted
Our review on #DeepLearning for Genomics is finally out - lot's of paper-digging led by @gokcen and @avsecz from @gagneurlab. Targeted at biologists who want to learn how 'AI' can be used for genomic modeling, from motif discovery to single cell genomics. nature.com/articles/s41576-0…
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Rajeeva Lochan Musunuri retweeted
9 Apr 2019
“It’s not the worst thing I’ve ever used” - How engineers say nice things about software
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Rajeeva Lochan Musunuri retweeted
Perennially good advice on constructing a summary paragraph / abstract nature.com/documents/nature-…
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