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I write software for Biologists. Founder Fulcrum Genomics, Bioinformatician, Computer Scientist, Coder, Father of 2xGirls. Opinions are my own.
Mapquik, a new read mapper for HiFi reads, is 30-35x faster than the state of the art, with minimal los in accuracy. And it has a fantastic logo to boot! @baris #bioinformatics
Code: http://github.com/ekimb/mapquik
Preprint: https://www.biorxiv.org/content/10.1101/2022.12.23.521809v2
GitHub - ekimb/mapquik: Efficient low-divergence mapping of long reads in minimizer space

Efficient low-divergence mapping of long reads in minimizer space - GitHub - ekimb/mapquik: Efficient low-divergence mapping of long reads in minimizer space

GitHub

> It’s one of the reason I’ve pushed back on supporting alternate aligners in the nf-core consensus reads from UMIs pipeline: fastquorum. I’ve found that getting the nf-core RNASeq pipeline working for clients is very cumbersome, and folks are invariably disappointed about how long it takes to customize it. It’s too complex. So that’s why I’m pushing hard to keep fastquorum as simple as possible. Do one thing well; a jack of trades is a master of none.

@tangming2005: https://www.linkedin.com/posts/%F0%9F%8E%AF-ming-tommy-tang-40650014_release-nf-corernaseq-v310-rhodium-rudolph-activity-7011483161855426560-cjQk?utm_source=share&utm_medium=member_ios

🎯 Ming "Tommy" Tang on LinkedIn: Release nf-core/rnaseq v3.10 - Rhodium Rudolph · nf-core/rnaseq

A new release of the nextflow RNAseq pipeline. It is very nice with docker containers and a lot of QC features. I’ve tried it on google cloud and had some…