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genohub.com - The right sequencing instrument for your study depends on your project goal. Setting aside turnaround time and price, it essentially comes down to the numbers of reads and read length you need for your experiment. Below, we've described and compared...

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*:...

Mapping reads to a reference genome is an essential step in many types of genomic analysis, such as variant calling and gene expression analysis.

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...

Longest read of 1mb achievements with Nanopore

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...

github.com - VariantBam is a tool to extract/count specific sets of sequencing reads from next-generational sequencing files. To save money, disk space and I/O, one may not want to store an entire BAM on disk. In many cases, it would be more efficient to store...

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...

github.com - The NanoPack tools are written in Python3 and released under the GNU GPL3.0 License. The source code can be found at https://github.com/wdecoster/nanopack, together with links to separate scripts and their documentation. The scripts are compatible...

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...