The Basic Local Alignment Search Tool (BLAST) is a powerful bioinformatics program used to compare an input sequence (such as DNA, RNA, or protein sequences) against a database of sequences to find regions of similarity.
BLASTn output format 6
BLASTn maps DNA against DNA, for example gene sequences against a reference genomeblastn -query genes.ffn -subject genome.fna -outfmt 6
BLASTn tabular output format 6
Column headers:qseqid sseqid pident...
kablammo.wasmuthlab.org - Kablammo helps you create interactive visualizations of BLAST results from your web browser. Find your most interesting alignments, list detailed parameters for each, and export a publication-ready vector image, all without installing any...
www.kegg.jp - KOALA (KEGG Orthology And Links Annotation) is KEGG's internal annotation tool for K number assignment of KEGG GENES using SSEARCH computation. BlastKOALA and GhostKOALA assign K numbers to the user's sequence data...
www.ncbi.nlm.nih.gov - Kraken is an ultrafast and highly accurate program for assigning taxonomic labels to metagenomic DNA sequences. Previous programs designed for this task have been relatively slow and computationally expensive, forcing researchers to use faster...
gitlab.gwdg.de - CRBHits is a coding sequence (CDS) analysis pipeline in R (R Core Team, 2019). It reimplements the Conditional Reciprocal Best Hit (CRBH) algorithm crb-blast and covers all necessary steps from sequence similarity searches, codon alignments to Ka/Ks...
github.com - pbalign aligns PacBio reads to reference sequences, filters aligned reads according to user-specific filtering criteria, and converts the output to either the SAM format or PacBio Compare HDF5 (e.g., .cmp.h5) format. The output Compare HDF5 file...
github.com - Create an interactive dot plot from mummer output OR PAF format
R script that makes a plotly interactive and/or static (png/pdf) dot plot.
Shiny app available for testing
How to format the database for BLAST, run the command, view the output file, and use BioPerl and Perl to parse the output. By David Francis, Ohio State University. Delivered live at the Tomato Disease Workshop 2010. For more information, please...