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chagall.med.cornell.edu - Institute of computational biomedicine, Cornell University provide an NGS workshop tutorial at http://chagall.med.cornell.edu/NGScourse/  You can also add your favourite NGS educational material, or workshop tutorial by commenting on this...

www.mrc-lmb.cam.ac.uk - This is about how to use a computer to find what is known about a gene of interest and also how to get new insights about it. The tutorial is divided in three main parts: In the Sequence part, you will see how to look efficiently for a...

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...

1. Project Assistant/Junior Research Fellow/ Project Fellow [PA_JRF_PF] a) M.Sc/or equivalent in biological sciences/related areas [Position Code: PA_JRF_PF_a] b) B.E/B.Tech/ M.Sc in biotechnology/bioinformatics/computer...

ArrayGen is a global bioinformatics company which is a one stop solution for microarray designing and genomics data analysis. Our novel Array Design Approach Strategy (ADAS) aims to condense the time lag between demands of scientific community and...

We are interested in finding an excellent postdoc with interests in protein functional annotation, machine learning and computer grids. The position is open for 3.5 years at the Université Pierre et Marie Curie, in the heart of Paris. Research...

An R tutorial for Microsoft Excel users

R is a functional based language, the inputs to a function, including options, are in brackets. Note that all dat and options are separated by a comma Function(data, options) Even quit is a function q() So is...

Our research group is primarily focused on the analysis of whole genome sequence data to identify genetic variation (primarily structural variation) and examine their potential functional impact in disease phenotypes. We are particularly interested...