github.com - Created by Stephen Johnson, Brett Trost, Dr. Jeffrey R. Long, Dr. Anthony Kusalik University of Saskatchewan, Department of Computer Science
BEAR is intended to be an easy-to-use collection of scripts for generating simulated WGS metagenomic reads...
Prioritizing missense variants for further experimental investigation is a key challenge in current sequencing studies for exploring complex and Mendelian diseases. A large number of in silico tools have been employed for the task of...
github.com - Manta calls structural variants (SVs) and indels from mapped paired-end sequencing reads. It is optimized for analysis of germline variation in small sets of individuals and somatic variation in tumor/normal sample pairs. Manta discovers, assembles...
github.com - DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation...
github.com - MALVA is able to genotype multi-allelic SNPs and indels without mapping reads
MALVA calls correctly more indels than the most widely adopted genotyping pipelines
Mapping-free approaches are as accurate as alignment-based ones, while being...