BOL

www.topcoder.com - Learning greedy algo for biologist.  https://www.topcoder.com/community/data-science/data-science-tutorials/greedy-is-good/ This webpage is also useful for the...

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...

The genome assemblers generally take a file of short sequence reads and a file of quality-value as the input. Since the quality-value file for the high throughput short reads is usually highly memory-intensive, only a few assemblers, best suited for...

Structural variation caller tools using long reads

sfg.stanford.edu - This website and accompaning documents are intended as a tool to help researchers dealing with non-model organisms acquire and process transcriptomic high-throughput sequencing data without having to learn extensive bioinformatics skills. It covers...

Researcher in Computer Science at the Computational Biology Unit - temporary employment The Department of Informatics is a vacant position as a researcher in computer science, related to Computational Biology Unit (CBU), for 3 years. The...

wiki.bits.vib.be - NGS data are just a bunch of sequences, you have no idea which region in the genome each sequences comes from, which gene it represents...To know that you have to align the sequences to the reference sequence. The reference sequence is in most cases...

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...

BIOINFORMATICS POSTDOC IN FUNCTIONAL EVOLUTIONARY GENOMICS Center for Integrative Genomics, University of Lausanne, Switzerland Two postdoctoral positions (2 years with possible extensions up to 5 years) are available immediately in the...

bib.oxfordjournals.org - Among life scientists, from clinicians to environmental researchers, a common theme is the need not just to use, and gain familiarity with, bioinformatics tools and resources but also to understand their underlying fundamental theoretical and...