BOL

github.com - Parliament2 identifies structural variants in a given sample relative to a reference genome. These structural variants cover large deletion events that are called as Deletions of a region, Insertions of a sequence into a region, Duplications of a...

ICAR - National Research Centre for Orchids Pakyong F.No:NRCO/Admn/DBT /136 / Walk-in-Interviews will be held at 737106, Sikkim for the post of 01 (One Project ‘DBT’s Twinning programme for the NE’ titled “Assessment of some fragrant...

Experience in Next Generation Sequencing (NGS) application and interest in Genomics/ Clinical / Translational Applications. OR Good computational programming skills and deep interest in working on interface of Genomics and Clinical application....

Solved with perl http://rosalind.info/problems/1a/ #Find the most frequent k-mers in a string.#Given: A DNA string Text and an integer k.#Return: All most frequent k-mers in Text (in any order).use strict;use warnings;my...

Longest read of 1mb achievements with Nanopore

The question at http://rosalind.info/problems/1d/ Script are moved to http://bioinformaticsonline.com/snippets/view/34633/clump-finding-problem-solved-with-perl

github.com - The NanoPack tools are written in Python3 and released under the GNU GPL3.0 License. The source code can be found at https://github.com/wdecoster/nanopack, together with links to separate scripts and their documentation. The scripts are compatible...

github.com - Welcome to kevlar, software for predicting de novo genetic variants without mapping reads to a reference genome! kevlar's k-mer abundance based method calls single nucleotide variants (SNVs), multinucleotide variants (MNVs),...

Research Scientist Jobs opportunity in University of Delhi on temporary basis Qualifications : Ph. D. Desirable : Experience on DNA Markers, plant genome mapping and bioinformatics No. of Post : 03 Department : Genetics Salary : Rs....

github.com - Automatic Filtering, Trimming, Error Removing and Quality Control for fastq data AfterQC can simply go through all fastq files in a folder and then output three folders: good, bad and QC folders, which contains good reads, bad reads and the QC...