github.com - Collection of Python libraries to parse bioinformatics files, or perform computation related to assembly, annotation, and comparative genomics.
https://github.com/tanghaibao/jcvi
More at https://github.com/tanghaibao/jcvi/wiki
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 - HASLR, a hybrid assembler which uses both second and third generation sequencing reads to efficiently generate accurate genome assemblies. Our experiments show that HASLR is not only the fastest assembler but also the one with the lowest number 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...
github.com - Despite marked recent improvements in long-read sequencing technology, the assembly of diploid genomes remains a difficult task. A major obstacle is distinguishing between alternative contigs that represent highly heterozygous regions. If primary...
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...
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...
bioinfologics.github.io - What is a k-mer anyway? A k-mer is just a sequence of k characters in a string (or nucleotides in a DNA sequence). Now, it is important to remember that to get all k-mers from a sequence you need to get...
As the cost of DNA sequencing has dropped, the volume of data produced has risen into the petabytes. Google is working with the genomics community to define a standard API for working with big genomic data sets in the cloud. Building on Google Cloud...