BOL

wist is looking for a Bioinformatics Scientist to join our Production Bioinformatics Team. You will work alongside research scientists, software engineers and data scientists to further deliver on our mission to expand access to best-in-class...

The Department of Biostatistics and Bioinformatics at Duke University Medical Center is seeking a Postdoctoral Associate for a one year appointment to work on several high-dimensional research projects. The specific goals of the project are to...

www.rdatamining.com - This website presents examples, documents and resources on data mining with R. Documents on using R for data mining are available to download for non-commercial personal use, including R Reference card for Data Mining, R and Data Mining:...

Kindly look into following webpage: http://medhealth.leeds.ac.uk/info/1450/scholarships/1795/marie_curie_phd_training_network The closing date for application will be 26 June 2015.

We are the Statistical Bioinformatics group in the Institute for Adaptive and Neural Computation in the School of Informatics at the University of Edinburgh. The group is led by Dr. Ian Simpson who is a Lecturer in Biological Informatics in the...

www.biostarhandbook.com - Nice book collection for bioinformatician ... highly recommended.

Bioinformatics-Multi_Omics_Integration https://www.researchgate.net/job/939073_Senior_Scientist_Bioinformatics-Multi_Omics_Integration Senior_Scientist_Bioinformatics-Transcriptomics_Analysis...

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...