1000 Genomes data tutorial at ASHG
Structural variants presentation by
Jan Korbel
European Molecular Biology Laboratory (EMBL) Heidelberg Genome Biology Research...
nemo2.sourceforge.net - A recombination map has been added for all multi-locus traits. The map positions (chromosomal) for neutral markers (e.g. SNPs) and loci under selection (QTLs, deleterious mutations, DMIs) can now be specified explicitly, or set at random....
github.com - Watch out: only a few files are counted in coverage statistics.
Full documentation on Read the Docs.
A set of tools for viral metagenomics.
virmet is called with a command subcommand syntax: virmet fetch --viral n, for example,...
qb.cshl.edu - Summary: GenomeScope is an open-source web tool to rapidly estimate the overall characteristics of a genome, including genome size, heterozygosity rate, and repeat content from unprocessed short reads. These features are essential for studying...
www.ncbi.nlm.nih.gov - Background. Next-generation sequencing technologies are now producing multiple times the genome size in total reads from a single experiment. This is enough information to reconstruct at least some of the differences between the individual genome...
journal.embnet.org - Next Generation Sequencing has totally changed genomics: we are able to produce huge amounts of data at an incredibly low cost compared to Sanger sequencing. Despite this, some old problems have become even more difficult, de novo assembly being on...
github.com - The automated reconstruction of genome sequences in ancient genome analysis is a multifaceted process.
EAGER encompasses both state-of-the-art tools for each step as well as new complementary tools tailored for ancient DNA data within a single...
bioinformatics.oxfordjournals.org - Summary: Mate pair library sequencing is an effective and economical method for detecting genomic structural variants and chromosomal abnormalities. Unfortunately, the mapping and alignment of mate pair read pairs to a reference genome is a...
http://last.cbrc.jp/ - LAST can:
Handle big sequence data, e.g:
Compare two vertebrate genomes
Align billions of DNA reads to a genome
Indicate the reliability of each aligned column.
Use sequence quality data properly.
Compare DNA...