BOL

github.com - SGA is a de novo genome assembler based on the concept of string graphs. The major goal of SGA is to be very memory efficient, which is achieved by using a compressed representation of DNA sequence reads. More at https://github.com/jts/sga SGA...

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...

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...

neufeldserver.uwaterloo.ca - PANDASEQ assembles paired-end Illumina reads into sequences, trying to correct for errors and uncalled bases. The assembler reads two files in FASTQ format with quality information. If amplification primers were used (e.g., to isolate a variable...

lindenb.github.io - Collection of Java tool kits for bioinformatics works: Jvarkit : Java utilities for Bioinformatics

Scientific Interests: Models and software for predicting who is at risk of carrying genetic variants that confer susceptibility to cancer. Application to breast, ovarian, colorectal, pancreatic and skin cancer. Statistical methods for the...

User-friendly tools for the normalization and visualization of deep-sequencing data

rosalind.info - Rosalind is a platform for learning bioinformatics and programming through problem solving. Take a tour to get the hang of how Rosalind works. http://rosalind.info/problems/list-view/

www.ncbi.nlm.nih.gov - The Ensembl comparative genomics resources are one such reference set that facilitates comprehensive and reproducible analysis of chordate genome data. Ensembl computes pairwise and multiple whole-genome alignments from which large-scale synteny,...