BOL

70 per cent of emerging viral diseases such as HIV/AIDS, West Nile, Ebola, SARS, and influenza, are zoonoses - infections of animals that cross into humans.

Only 4.4 percent DNA difference between Tiger and house cats

ncbi.github.io - Magic-BLAST is a tool for mapping large next-generation RNA or DNA sequencing runs against a whole genome or transcriptome. Each alignment optimizes a composite score, taking into account simultaneously the two reads of a pair, and in case of...

github.com - an integrated bioinformatics pipeline for the detection of TE insertions in whole-genome shotgun data, called McClintock (https://github.com/bergmanlab/mcclintock), which automatically runs and standardizes output for multiple TE detection methods....

github.com - MARVEL consists of a set of tools that facilitate the overlapping, patching, correction and assembly of noisy (not so noisy ones as well) long reads. The assembly process can be summarized as follows: overlap patch reads overlap...

github.com - new de novo assembler called BASE. It enhances the classic seed-extension approach by indexing the reads efficiently to generate adaptive seeds that have high probability to appear uniquely in the genome. Such seeds form the basis for BASE...

journals.plos.org - Chromosome-level genome assembler combining multiple de novo assemblies https://github.com/jkimlab/IMAP

biochem218.stanford.edu - Excellent article to introduce different sequencing methods along with tools for de novo assembly of sequencing reads and their relevant references. Title: Comparison of Short Read De Novo Alignment Algorithms  Author: Nikhil Gopal

github.com - HASLR is a tool for rapid genome assembly of long sequencing reads. HASLR is a hybrid tool which means it requires long reads generated by Third Generation Sequencing technologies (such as PacBio or Oxford Nanopore) together with Next Generation...

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