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China’s BGI says it can sequence a genome for just $100

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 - RefKA, a reference-based approach for long read genome assembly. This approach relies on breaking up a closely related reference genome into bins, aligning k-mers unique to each bin with PacBio reads, and then assembling each bin in parallel...

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 - Often, genome assembly projects have illumina whole genome sequencing reads available for the assembled individual. The k-mer spectrum of this read set can be used for independently evaluating assembly quality without the need of a high quality...

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...

There are two methods for ancient WGD detection, one is collinearity analysis, and the other is based on the Ks distribution map. Among them, Ks is defined as the average number of synonymous substitutions at each synonymous site, and there is...

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...