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en.wikibooks.org - Employing different technologies, the purpose of NGS platform is to decode the identity or modification on the nucleotides. NGS platforms evolve quickly and capture the main stream. This bookmark is created to provide NGS online books links.

There are many R software and bioconductor packages for NGS data analysis, some of them are as follows Biostrings The Biostrings package from Bioconductor provides an advanced environment for efficient sequence management and analysis in R. It...

http://orione.crs4.it/ - End-to-end NGS microbiology data analysis requires a diversity of tools covering bacterial resequencing, de novo assembly, scaffolding, bacterial RNA-Seq, gene annotation and metagenomics. However, the construction of computational pipelines that...

pypi.python.org - Orange Bioinformatics extends Orange, a data mining software package, with common functionality for bioinformatics. The provided functionality can be accessed as a Python library or through a visual programming interface (Orange Canvas). The latter...

“Ocimum Biosolution” is a comprehensive Integrated Life Science Informatics solutions provider with service offerings that span Sample and Data Management (LIMS, Biologics Data Management), Genomics Data Analysis Services such as Gene Expression,...

We develop and use integrative bioinformatics approaches to extract biological meanings from experimental data and generate hypotheses for experimental validation. Please explore our website to learn more about our people and our research. More...

The goal of our research is to better understand the biology of microbial organisms of significant ecological, veterinary and medical importance. To achieve this goal, our team combines the power of next generation DNA sequencing and...

ADVERTISEMENT OF WALK-IN-INTERVIEW NAME OF THE POST : Bioinformatician (Part time 3 days in a week) (One Position only) DURATION : One Year NAME OF THE PROJECT : Next generation sequencing facility EDUCATIONAL QUALIFICATIONS : At least a...

TheLab seek to understand the genetic factors contributing to genomic variation and phenotypic diversity. To this end, we employ molecular and bioinformatic tools to study evolutionary processes at the level of populations, both experimental and...