01 What bioinformatics software not to write part 1 - podcast episode cover

01 What bioinformatics software not to write part 1

Sep 19, 201924 min
--:--
--:--
Download Metacast podcast app
Listen to this episode in Metacast mobile app
Don't just listen to podcasts. Learn from them with transcripts, summaries, and chapters for every episode. Skim, search, and bookmark insights. Learn more

Episode description

In this episode we identify areas of “Peak-bioinformatics”. There are a lot of existing bioinformatics software out there - more often than not the new tool you want to write already exists or a new tool cannot effectively improve. We discuss this in terms of genome assembly, read mapping and phylogenetics. Question and comments? microbinfie@gmail.com SHOW NOTES Generally, novel software is not needed if: There are a plethora of existing tools The problem is more or less solved or its been shown to be unsolvable The underlying technology or problem is now obsolete and/or superceded by other methods. Multiple sequence aligners: MAFFT https://mafft.cbrc.jp/alignment/software/ MUSCLE https://www.drive5.com/muscle/ Whole genome aligners: Mauve http://darlinglab.org/mauve/mauve.html Mugsy http://mugsy.sourceforge.net/ Sibellia http://bioinf.spbau.ru/sibelia Parsnp https://github.com/marbl/parsnp Assemblers: SPADES https://github.com/ablab/spades Skesa https://github.com/ncbi/SKESA Velvet https://www.ebi.ac.uk/~zerbino/velvet/ Abyss https://github.com/bcgsc/abyss Edena http://www.genomic.ch/edena.php Ray http://denovoassembler.sourceforge.net/ Long read assemblies HGAP https://github.com/PacificBiosciences/Bioinformatics-Training/wiki/HGAP-2.0 Flye https://github.com/fenderglass/Flye Canu https://github.com/marbl/canu Ra https://www.biorxiv.org/content/10.1101/656306v1 Unicycler https://github.com/rrwick/Unicycler Read mapping BWA http://bio-bwa.sourceforge.net/ Bowtie2 http://bio-bwa.sourceforge.net/ Minimap2 https://github.com/lh3/minimap2 (BWA better for short reads: https://lh3.github.io/2018/04/02/minimap2-and-the-future-of-bwa) BBtools https://jgi.doe.gov/data-and-tools/bbtools/ BLAST/BLAT: https://genome.ucsc.edu/FAQ/FAQblat.html SMALT https://www.sanger.ac.uk/science/tools/smalt-0 Snippy https://github.com/tseemann/snippy Phenix: https://github.com/phe-bioinformatics/PHEnix Variant callers GATK: https://software.broadinstitute.org/gatk/ VIPR: https://www.viprbrc.org/brc/home.spg?decorator=vipr Varscan2 http://varscan.sourceforge.net/ Workflow managers Bespoke example https://github.com/VertebrateResequencing/vr-codebase Snakemake. https://snakemake.readthedocs.io/en/stable/ Nextflow https://www.nextflow.io/ Galaxy https://usegalaxy.org/ Bpipe https://github.com/ssadedin/bpipe Phylogenetics: Raxml - Raxml-NG https://cme.h-its.org/exelixis/software.html IQTREE http://www.iqtree.org/ FastTree http://www.microbesonline.org/fasttree/ BEAST 1&2 https://www.beast2.org/ RevBayes https://revbayes.github.io/ Metagenomics Taxonomic classification: Megan, Kraken, SIGMA, MIDAS, metaphlan2, mOTUs. Assemblers: MetaSpades, metaflye, MEGAHIT, MetaVelvet, a lot of single isolate assemblers have been tweaked to run on metagenomes. https://github.com/lskatz/Kalamari AMR https://github.com/arpcard/amr_curation https://food-safety-bioinformatics-hackathon.github.io/AMR-protocols/ ABRICATE https://github.com/tseemann/abricate ARIBA https://www.sanger.ac.uk/science/tools/ariba Too many detection tools: https://docs.google.com/spreadsheets/d/18XGWpDiaE249qQKDAL7gdBCka0Z1drpA_s3FElfMJe0/edit#gid=0 Other mentioned resources Mentioned Recent review. Zhang W, Chen J, Yang Y, Tang Y, Shang J, Shen B (2011) A Practical Comparison of De Novo Genome Assembly Software Tools for Next-Generation Sequencing Technologies. PLoS ONE 6(3): e17915. https://doi.org/10.1371/journal.pone.0017915 The Assemblerthon: https://assemblathon.org/ Blog post describing that BWA better for short reads: https://lh3.github.io/2018/04/02/minimap2-and-the-future-of-bwa The science web: https://thescienceweb.wordpress.com/2015/03/23/each-bioinformatician-to-have-their-own-personal-short-read-aligner-by-2016/
For the best experience, listen in Metacast app for iOS or Android