https://genome10k.soe.ucsc.edu
The Genome 10K project aims to assemble a genomic zoo—a collection of DNA sequences representing the genomes of 10,000 vertebrate species, approximately one for every vertebrate genus. The trajectory of cost reduction...
www.nature.com - Second generation sequencing has revolutionized genomic studies. However, most genomes contain repeated DNA elements that are longer than the read lengths achievable with typical sequencers, so the genomic order of several generated contigs cannot...
Live Webinar on RNA-Seq Data Analysis
Abstract: Strand NGS supports an extensive workflow for the analysis and visualization of RNA-Seq data. The workflow includes Transcriptome / Genome alignment, Differential expression analysis with Statistical...
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...
genome.sph.umich.edu - vt is a variant tool set that discovers short variants from Next Generation Sequencing data.
https://genome.sph.umich.edu/wiki/Vt
https://github.com/atks/vt
github.com - Key features
Filters SNVs from any variant caller to remove false positives
Calculates metrics based on BAM files and provides filtering not possible with other tools
Fully user-configurable filtering (including which filters to use and their...
Many times bioinformatician needs to parse binary files like bam and sff. Advantage of binary files is that they occupy less space in memory with maximum information content.
Link for those who looking for structure of Bam and sff...
Swiss Institute of Bioinformatics (SIB) organises lots of bioinformatics courses covering wide range of topics:
http://www.isb-sib.ch/education/training-courses.html
Canadian bioinformatics also organises various bioinformatics and sequencing...
talks.biogo.googlecode.com - Another good lecture for Illumina sequencing data analysis from
Dan Kortschak, Bioinformatics Group, School of Molecular and Biomedical Science ,The University of Adelaide