BOL

Genome browsers are useful not only for showing final results but also for improving analysis protocols, testing data quality, and generating result drafts. Its integration in analysis pipelines allows the optimization of parameters, which...

There are two methods for ancient WGD detection, one is collinearity analysis, and the other is based on the Ks distribution map. Among them, Ks is defined as the average number of synonymous substitutions at each synonymous site, and there is...

github.com - odgi provides an efficient and succinct dynamic DNA sequence graph model, as well as a host of algorithms that allow the use of such graphs in bioinformatic analyses. Careful encoding of graph entities allows odgi to efficiently...

There are numerous genome assembly tools available, each with its strengths and weaknesses. Here is a list of some widely used genome assembly tools as of my last update in September 2021: SPAdes: An assembler specifically designed for...

ftp.ncbi.nih.gov - Now a days there are a lots of genomics databases available around the world. This bookmark is created to provide all links in one place ... ftp://ftp.ncbi.nih.gov/genomes/ https://hgdownload.soe.ucsc.edu/downloads.html

github.com - The goal of the Shasta long read assembler is to rapidly produce accurate assembled sequence using as input DNA reads generated by Oxford Nanopore flow cells. Computational methods used by the Shasta assembler include: Using...

cmdcolin.github.io - Comparative genomics visualisation tools !

The study of biological pathways is a key to understand the different processes inside a cell: proteins exert their function not in isolation but in a tightly controlled network of interactions and reactions. Activation of a pathway typically leads...

List of generic simulation software/tools/resource with brief description and homepage ALF A Simulation Framework for Genome Evolution http://www.cbrg.ethz.ch/alfBayesian Serial SimCoal Bayesian Serial SimCoal, (BayeSSC) is a modification of...

github.com - Solutions to Coursera Genome Sequencing (Bioinformatics II)