academic.oup.com - GMcloser uses likelihood-based classifiers calculated from the alignment statistics between scaffolds, contigs and paired-end reads to correctly assign contigs or long reads to gap regions of scaffolds, thereby achieving accurate and efficient gap...
One postdoctoral position is available in the area of Bioinformatics. This position is available through a highly collaborative project involving multiple labs.
The primary focus here would be to analyse and integrate high throughput data from...
ufmg-simba.sourceforge.net - SIMBA, SImple Manager for Bacterial Assemblies, is a Web interface for managing assembly projects of bacterial genomes. SIMBA was created to assist bioinformaticians to assemble bacterial genomes sequenced with NextGeneration Sequencing (NGS)...
Walk-in-Interview is scheduled to be held on the date as mentioned below for selection of Suitable candidates in the following areas under the DBT sponsored projecT on purely temporary basis for the duration of the project(s) or till completion of...
Walk-in-Interview is scheduled to be held on the date as mentioned below for selection of Suitable candidates in the following areas under the DBT sponsored project on purely temporary basis for the duration of the project(s) or till completion of...
The purpose of this book is to give an introduction into statistics in order to solve some problems of bioinformatics. Statistics provides procedures to explore and visualize data as well as to test biological hypotheses. The book intends to be...
ucdavis-bioinformatics-training.github.io - Our team offers custom bioinformatics services to academic and private organizations. We have a strong academic background with a focus on cutting edge, open source software. We replicate standard analysis pipelines (best practices) when...
github.com - The BETSY provides a command-line interface and available at https://github.com/jefftc/changlab. A user first searches in the knowledge base for desired output and then BETSY develops an initial workflow to produce that data which is later...
github.com - Just import the assembly, bam and ALE scores. You can convert the .ale file to a set of .wig files with ale2wiggle.py and IGV can read those directly. Depending on your genome size you may want to convert the .wig files to the BigWig format.