BOL

github.com - an integrated bioinformatics pipeline for the detection of TE insertions in whole-genome shotgun data, called McClintock (https://github.com/bergmanlab/mcclintock), which automatically runs and standardizes output for multiple TE detection methods....

NATIONAL RESEARCH CENTRE ON PLANT BIOTECHNOLOGY New Delhi-110012 Walk in interview Eligible candidates may appear for Walk-in interview for the temporary positions of JRF/SRF/ RA, in ICAR, DBT funded research projects. Positions are purely...

github.com - GraphUnzip, a fast, memory-efficient and accurate tool to unzip assembly graphs into their constituent haplotypes using long reads and/or Hi-C data. As GraphUnzip only connects sequences in the assembly graph that already had a potential link based...

Adv. No. F.TU/ACA/GT-APP/01/14 Date: 07.07.2014 Faculty of Science Essential Qualifications: (i) Good academic record having at least 55% marks (or an equivalent grade in a point scale wherever grading system is followed) at the Master’s...

www.ncbi.nlm.nih.gov - Genes and its related metadata could be found on https://www.ncbi.nlm.nih.gov/datasets/coronavirus/genomes/

A study led by University of Utah scientists is the first to find a genetic cause for the adaptation, a single DNA base pair change that dates back 8,000 years and demonstrate how it contributes to the Tibetans' ability to live in low oxygen...

orangedatamining.com - Open source machine learning and data visualization. Build data analysis workflows visually, with a large, diverse toolbox.  

Advt. No : ME-I/A-IV/03/14 No.of Posts:01 (SC) Pay Scale: Pay Band of Rs.15600-39100 + Rs.6000/- GP +NPA @ 25% of Basic Pay +Learning Resource Allowance @ Rs.20,000/-P.A.+ Conveyance Allowance @ Rs. 1650/-P.M.+ Academic Allowance @...

github.com - Phylogenomic Analysis Pipeline for Herbarium Specimens What is PhyloHerb: PhyloHerb is a wrapper program to process genome skimming data collected from plant materials. The outcomes include the plastid genome (plastome) assemblies,...

When you're just starting out with biological programming, it's easy to run into complex problems that make you wonder how anyone has ever managed to write a program.