Visualize your metagenomic sequences with Pavian, developed by my (now former) postdoc Florian Breitwieser. The software came out long ago, but (finally) the paper is out too https://t.co/o1xM85rwFW
For those who want the supplemental materials and can't wait for the full paper to appear, I've put them on my ftp site for anyone to download: ftp://ftp.ccb.jhu.edu/pub/salzberg/Contaminated_genomes_GenomeResearchPaper_2019/
@Seb_Matamoros The method was developed independently from Kraken 2. Once Kraken 2 is published, we may develop a -Uniq version of it, too. KrakenUniq supports Kraken 1 databases, though, as well as building new databases with extended taxonomy.
We've released another Kraken (KrakenUniq, just published) Very elegant work by @fbreitw using randomized counting algorithm to enhance the Kraken metagenomics software. #microbiome https://t.co/bgwUeJrik7
KrakenUniq (formerly KrakenHLL): confident and fast metagenomics classification using unique k -mer counts
https://t.co/l0bvWnCmsB
https://t.co/FSN9xllabm
My entry for the May #SWDChallenge is a waterfall chart showing how the budgets of 18 US federal departments changed from 2017 to 2018, effectively transferring funding from 15 departments to 3. cc @storywithdata
New paper in press today at @NatureRevGenet: Piercing the dark matter: bioinformatics of long-range sequencing and mapping https://t.co/58xKPpfMab. Summarizes all the major ways long reads, linked reads, HiC and Optical Mapping are being used to advance genomics
@KristaTernus@fbreitw@StevenSalzberg1 @brooksph @ctitusbrown@traingene just making my way through it now. this is great, almost reads like a new manuscript. the bits about kmer to read ratio and the demonstration of how that relates to confidence in a true species call = great work. thanks for the update!
@AdamBazinet Thanks @AdamBazinet ! Yes, you can use it as drop-in replacement for Kraken - if used on the same database it provides three additional columns in the report with info on the k-mer counts. Jen Lu made the new format work with Bracken, too
@devindrown@gringene_bio@rec3141 I think you should be able to get a Kraken-style report from kaiju by running `kraken-report` on the kaiju output. Thanks for reminding me of the issue, see https://t.co/0LecVXGeNZ
In our new metagenomics program KrakenHLL: probabilistic counting lets us count unique k-mers with remarkably little memory. Who knew that a hashing algorithm (#HyperLogLog) could be a hashtag too? https://t.co/kVF0DByGyf