BOL

https://gold.jgi.doe.gov/ - GOLD:Genomes Online Database, is a World Wide Web resource for comprehensive access to information regarding genome and metagenome sequencing projects, and their associated metadata, around the world. https://gold.jgi.doe.gov/

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

github.com - Solutions to Coursera Genome Sequencing (Bioinformatics II)

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...

rrwick.github.io - Bandage (a Bioinformatics Application for Navigating De novo Assembly Graphs Easily) is a tool for visualizing assembly graphs with connections. Users can zoom in to specific areas of the graph and interact with it by moving nodes,...

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...

mugsy.sourceforge.net - Mugsy is a multiple whole genome aligner. Mugsy uses Nucmer for pairwise alignment, a custom graph based segmentation procedure for identifying collinear regions, and the segment-based progressive multiple alignment strategy from Seqan::TCoffee....

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 - Delta is an integrative visualization and analysis platform to facilitate visually annotating and exploring the 3D physical architecture of genomes. Delta takes Hi-C or ChIA-PET contact matrix as input and predicts the topologically...

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.