BOL

www.phrap.org - Supports Illumina, 454, other Next-Gen and Sanger Reads and allows mixtures of these read types Consed includes BamScape which can view bam files with unlimited numbers of reads. BamScape can bring up consed to edit reads and the reference sequence...

May 21, 2014 - Current Topics in Genome Analysis 2014 A lecture series covering contemporary areas in genomics and bioinformatics. More: http://www.genome.gov/COURSE2014

A core element in the downstream analysis for RNA-seq data involves the translation of assembled sequences into their corresponding amino acid sequences, and on the nucleotide level into the protein coding sequences (CDS) not containing any...

Faculty Positions: Rolling/Open Advertisement Advt.No: T-10 (2013) Pay Scale: Pay Band Rs.15600-39100 with AGP of Rs.6,000/- Essential Qualifications for Professors, Associate Professors, and Assistant Professors: As per “UGC REGULATIONS ON...

www.ncbi.nlm.nih.gov - Tbl2asn is a command-line program that automates the creation of sequence records for submission to GenBank. It uses many of the same functions as Sequin but is driven generally by data files. Tbl2asn generates .sqn files for submission to GenBank....

wikis.utexas.edu - The Integrative Genomics Viewer (IGV) from the Broad Center allows you to view several types of data files involved in any NGS analysis that employs a reference genome, including how reads from a dataset are mapped, gene annotations, and predicted...

github.com - Scripts for the analysis of HGT in genome sequence data

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 - Breakpointer is a fast tool for locating sequence breakpoints from the alignment of single end reads (SE) produced by next generation sequencing (NGS). It adopts a heuristic method in searching for local mapping signatures created by...

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.