drive5.com - USEARCH >Extreme high-throughput sequence analysis. Orders of magnitude faster than BLAST. MUSCLE >Multiple sequence alignment. Faster and more accurate than CLUSTALW.
UPARSE >OTU clustering for 16S and other marker genes....
We are a computational biology lab that develops novel methods for analysis of DNA and RNA sequences. Our research includes software for aligning and assembling RNA-seq data, whole-genome assembly, and microbiome analysis. We work closely with...
www.ebi.ac.uk - simNGS is software for simulating observations from Illumina sequencing machines using the statistical models behind the AYB base-calling software. By default, observations only incorporate noise due to sequencing and do not incorporate effects from...
arthropods.eugenes.org - EvidentialGene is a genome informatics project, "Evidence Directed Gene Construction for Eukaryotes", to construct high quality, accurate gene sets for animals and plants, developed by Don Gilbert at Indiana University,...
licheng/gccfilter - gccfilter is a perl filter to colorize and simplify (or expand) gcc diagnostic messages. gccfilter is particularly aimed at g++ (i.e. dealinging with C++) messages which can contain lot of template-related errors or warnings...
github.com - MashMap is a fast and approximate software for mapping long reads (PacBio/ONT) or assembly to reference genome(s). It maps a query sequence against a reference region if and only if its estimated alignment identity is above a specified threshold. It...
Meaningful analysis of next-generation sequencing (NGS) data, which are produced extensively by genetics and genomics studies, relies crucially on the accurate calling of SNPs and genotypes. Recently developed statistical methods both improve and...
hub.docker.com - GPSRdocker (http://webs.iiitd.edu.in/gpsrdocker/) is Presently it contain software developed at G. P. S. Raghava's group (http://webs.iiitd.edu.in/raghava/ ).
The programs and the package are free software for academic users. Permission...
http://www.iqtree.org/ - A fast and effective stochastic algorithm to infer phylogenetic trees by maximum likelihood. IQ-TREE compares favorably to RAxML and PhyML in terms of likelihoods with similar computing time
IQ-TREE found higher likelihoods between 62.2%...