BOL

github.com - ClinCNV detects CNVs in germline and somatic context in NGS data (targeted and whole-genome). We work in cohorts, so it makes sense to try ClinCNV if you have more than 10 samples (recommended amount - 40 since we estimate variances from...

Peng Lab at Janelia Farm Research Campus, Howard Hughes Medical Institute focuses on data mining for bioinformatics and computational molecular biology, particularly, bioimage data mining and informatics. These bioimages include cellular and...

csb5.github.io - LoFreq* (i.e. LoFreq version 2) is a fast and sensitive variant-caller for inferring SNVs and indels from next-generation sequencing data. It makes full use of base-call qualities and other sources of errors inherent in sequencing (e.g. mapping or...

Qualifications: Candidates must have a Ph.D. and a strong background in Molecular and Cellular Biology, protein expression, FACS, or computational biology, and ability to work collaboratively. This position will have a significant focus on...

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...

An opportunity to perform research in DST supported project that involves building of mathematical models to understand the functional relationship between circadian rhythms and memory formation under stressful condition. In this project,...

GATB Library. The Genome Analysis Toolbox with de-Bruijn graph. A large part of tools developed by the GenScale team are based on this library.These methods enable the analysis of data sets of any size on multi-core desktop...

EVOLUTIONARY AND INTEGRATIVE CELL BIOLOGY Our research is at the crossroad between cell biology, ecological genomics, systems biology, molecular evolution and population genetics. We study the architecture and evolution of protein and signalling...

Workflow Managers

We are involved in the development of methods and software in chemoinformatics. Current main projects are: 1.automatic learning of chemical reactivity and metabolism, 2.simulation of NMR spectra, 3.modelling of properties of ionic liquids,...