BOL

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...

bitbucket.org - MetaBAT, An Efficient Tool for Accurately Reconstructing Single Genomes from Complex Microbial Communities Grouping large genomic fragments assembled from shotgun metagenomic sequences to deconvolute complex microbial communities, or metagenome...

genomearchitect.github.io - Apollo is a plug-in for the JBrowse Genome Viewer. In addition to genes and pseudogenes, users can annotate ncRNAs (snRNA, snoRNA, tRNA, rRNA), miRNAs, repeat regions, and transposable elements; each annotation type has its own...

github.com - COCACOLA is a general framework that combines different types of information: sequence COmposition, CoverAge across multiple samples, CO-alignment to reference genomes and paired-end reads LinkAge to automatically bin contigs into OTUs. Furthermore,...

github.com - Collection of Python libraries to parse bioinformatics files, or perform computation related to assembly, annotation, and comparative genomics. https://github.com/tanghaibao/jcvi More at https://github.com/tanghaibao/jcvi/wiki

github.com - SequenceServer lets you rapidly set up a BLAST+ server with an intuitive user interface for use locally or over the web. More at http://sequenceserver.com.

github.com - MetaEuk is a modular toolkit designed for large-scale gene discovery and annotation in eukaryotic metagenomic contigs. Metaeuk combines the fast and sensitive homology search capabilities of MMseqs2 with a dynamic programming procedure to...

Structural variation caller tools using long reads

gitlab.com - CrowdGO is a protein Gene Ontology predictor using a meta approach, analyzing the predictions of other tools in order to get an improved precision and recall. Please note that the CrowdGO snakemake workflow is currently only tested on Ubuntu. It...

sfg.stanford.edu - This website and accompaning documents are intended as a tool to help researchers dealing with non-model organisms acquire and process transcriptomic high-throughput sequencing data without having to learn extensive bioinformatics skills. It covers...