github.com - This project contains scripts and tutorials on how to assemble individual microbial genomes from metagenomes, as described in:
Genome sequences of rare, uncultured bacteria obtained by differential coverage binning of multiple metagenomesMads...
seqmule.openbioinformatics.org - SeqMule takes single-end or paird-end FASTQ or BAM files, generates a script consisting of more than 10 popular alignment, analysis tools and runs the script line by line. Users can change the pipeline or fine-tune the parameters by modifying its...
http://www.htslib.org/ - Samtools is a suite of programs for interacting with high-throughput sequencing data. It consists of three separate repositories:
SamtoolsReading/writing/editing/indexing/viewing SAM/BAM/CRAM formatBCFtoolsReading/writing BCF2/VCF/gVCF files and...
journal.frontiersin.org - We have developed gbtools, a software package that allows users to visualize metagenomic assemblies by plotting coverage (sequencing depth) and GC values of contigs, and also to annotate the plots with taxonomic information. Different sets of...
A new “Download assemblies” button is now available in the Assembly database. This makes it easy to download data for multiple genomes without having to write scripts.
www.bx.psu.edu - We describe a new method for predicting the ancestral order and orientation of those intervals from their observed adjacencies in modern species. We combine the results from this method with data from chromosome painting experiments to produce a map...
The Laboratoire de Bioinformatique des Génomes et des Réseaux (Genome and Network Bioinformatics) is specialized in the conception, implementation, evaluation and application of bioinformatics approaches for the analysis of genome, transcriptome,...
RASA conducts comprehensive Life Science skill development training courses in Pune, India for working professionals, researchers, students and job-seeker. The trainings are crafted meticulously, covering different modules of courses such as...
homes.sice.indiana.edu - Machine learning techniques have been successful in analyzing biological data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. In this class, we will learn basics about probabilistic models...