Traineeship/Studentship cunducts University of Delhi (Gargi College) on purely temporary for a period of six months.
Traineeship — 01 (one post)
Essential Qualification: Post Graduate degree in Bioinformatics or any other branch of Life Sciences...
Bioinformatics center
Sri Venkateswara College (University of Delhi)
New Delhi- 110021
1. Junior Research Fellow (1 Post)
Applications are invited for the post of Junior Research Fellow (JRF) under DST funded project which is purely...
github.com - The major problem of scaffolding polyploid genome is that Hi-C signals are frequently detected between allelic haplotypes and any existing stat of art Hi-C scaffolding program links the allelic haplotypes together. To solve the problem, we developed...
github.com - SvABA is a method for detecting structural variants in sequencing data using genome-wide local assembly. Under the hood, SvABA uses a custom implementation of SGA (String Graph Assembler) by Jared Simpson, and BWA-MEM by Heng Li....
cancer.sanger.ac.uk - The accurate description and annotation of structural variants can be complex. This is due to the different resolution that variants are reported from traditional cytogenetic coordinates down to the actual base pair positions....
github.com - NextDenovo is a string graph-based de novo assembler for TGS long reads. It uses a "correct-then-assemble" strategy similar to canu, but requires significantly less computing resources and storages. After assembly, the per-base error rate...
faculty.washington.edu - Beagle is a software package that performs genotype calling, genotype phasing, imputation of ungenotyped markers, and identity-by-descent segment detection.
Beagle version 4.1 has a more accurate genotype phasing algorithm and a very fast and...
github.com - MEC, to identify and correct misassemblies in contigs. Firstly, MEC takes fragment coverage as the feature to detect the candidate misassemblies. Then, it can distinguish a large number of false positives from the candidate misassemblies based on...
github.com - SvABA is a method for detecting structural variants in sequencing data using genome-wide local assembly. Under the hood, SvABA uses a custom implementation of SGA (String Graph Assembler) by Jared Simpson, and BWA-MEM by Heng Li....
www.niehs.nih.gov - ART is a set of simulation tools to generate synthetic next-generation sequencing reads. ART simulates sequencing reads by mimicking real sequencing process with empirical error models or quality profiles summarized from large recalibrated...