Rajeeva Lochan Musunuri

Data Scientist @nygenome

[Rajeeva Lochan Musunuri @omicsnut]

@AravSrinivas The subtle difference between a "Research Max" vs "Labs Max" query is a bit confusing (https://t.co/hRmPvlLRpu).

My understanding and experience so far has been that "Labs Max" is much better. Is there any scenario where "Research Max" is preferable over "Labs Max"?

[Marta Byrska-Bishop @mbyrskabishop]

Very happy to officially share the high-coverage 1000 Genomes Project (1kGP) whole-genome sequencing (WGS) resource, out today in @CellCellPress! https://t.co/c80b5bj1H2 (1/7)

[Giuseppe Narzisi @gnarzisi]

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: https://t.co/Uz9OJBIBE0

[𝕐 @nomad421]

From @lh3lh3 et al., if you were waiting for a description of what minigraph (https://t.co/o08ri2zwiC) is doing that's higher-level than the C code :) . Looks like an exciting read!

[The Assemblathon @assemblathon]

Long walk to genomics: History and current approaches to genome sequencing and assembly https://t.co/hcUc5jLvk0

[Bjarni Halldórsson @bvhalldorsson]

Long read sequencing of 1,817 Icelanders provides insight into the role of structural variants in human disease https://t.co/yDIaQHgFDz

[ACMG @TheACMG]

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 https://t.co/VNsJ9wJa3T #CNVs #medicalgenetics @AMPath @GeneticCouns

[Dr Harriet Dashnow @hdashnow]

@lizworthey: Clinical review of 200+ variants per patient takes about 3 hours. Variant fatigue is real! This needs to be faster #gi2019

[Rajeeva Lochan Musunuri @omicsnut]

@brent_p Probably has something to do with this? https://t.co/8gCv5Kixp4

[Jeremy Stanley @jeremystan]

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
https://t.co/MZEa3u4bsT

[🔎Julia Evans🔍 @b0rk]

the oom (out of memory) killer

[Nils Homer @nilshomer]

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!

[Aaron Darling @koadman]

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!

[Jonathan Pritchard @jkpritch]

Our new work on understanding the architecture of complex traits "Trans effects on gene expression can drive omnigenic inheritance" is out today
https://t.co/RT2Ll3VLHm
Great collaboration with @XuanyaoLiu @yang_i_li

[george davey smith @mendel_random]

Population structure in the age of large-scale genotyped studies https://t.co/GHORXnGE4h

[Hail @hailgenetics]

Let's talk about references and citations.

References help readers discover relevant work and reproduce results.

1/N

[Jeff Atwood @codinghorror]

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.

[Fabian Theis @fabian_theis]

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. https://t.co/SnNZ5ECPqa