github.com - pyGenomeTracks aims to produce high-quality genome browser tracks that are highly customizable. Currently, it is possible to plot:
bigwig
bed (many options)
bedgraph
links (represented as arcs)
Hi-C matrices (if HiCExplorer is...
Applications are invited from eligible candidates for the following posts at Bioinformatics Centre (DIC), IT- BT Complex, College of Horticulture, Kerala Agricultural University, Vellanikkara, Thrissur.
1. Research Associate
Emoluments*:...
github.com - NovoGraph: building whole genome graphs from long-read-based de novo assemblies
An algorithmically novel approach to construct a genome graph representation of long-read-based de novo sequence assemblies. We then provide a proof of...
NIT, Rourkela, an institute of national importance under Ministry of HRD, Govt. of India invites applications from Indian nationals possessing excellent academic background along with commitment to quality teaching and research for faculty positions...
bitbucket.org - Some parts of a genome may have a very high degree of heterozygosity. This causes contigs for both haplotypes of that part of the genome to be assembled as separate primary contigs, rather than as a contig and an associated haplotig. This can be an...
pevsnerlab.kennedykrieger.org - DRAGON: Database Referencing of Array Genes Online
SNOMAD: Standardization and Normalization of Microarray Data
SNPduo: SNP Analysis Between Two Individuals
SNPtrio: Analyzing and Visualizing and Inheritance Patterns in Trios
SNPscan: Data...
sourceforge.net - GenomeView is a genome browser and annotation editor that displays reference sequence, annotation, multiple alignments, short read alignments and graphs. Most major data formats are supported. Local and internet files can be loaded.This project has...
CSIR - Institute of Himalayan Bioresource Technology 2 vacancies of Project Fellow
Name of the Post: Project Fellow
No. of the Post: 02 Two
Salary: Rs. 12000/- per month or Rs. 14000/- per month
Age Limit: Max. 28 years as on 10.06.2015...
To decide which strategy should be our “preferred” genome assembly approach based on data rather than my gut-feeling about the “best assembly” I decided to do some testing with a known “true” reference E Coli K12 MG1655