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Sep Biotechnology Training Courses at the National Institutes of Health This course will introduce students to bioinformatic analysis of next generation sequencing data, particularly for DNA-seq, RNA-seq, CHIP-seq, and epigenomics. The course will be comprised of lectures and hand-on sessions. Lectures will cover background knowledge and survey various software programs. For hand-on sessions, command line tools will be presented and the galaxy web based platform will be used to analyze primary data. http://www.rna-seqblog.com/events/trac-45-bioinformatic-analysis-of-next-generation-sequencing-data/

TRAC 45: Bioinformatic Analysis of Next Generation Sequencing Data

http://www.rna-seqblog.com/jobs-2/bioinformatics-postdoctoral-research-fellowship-available/

Bioinformatics postdoctoral research fellowship available

Jun Description: The Greengard laboratory (Rockefeller University, New York, USA) is accepting applications from outstanding individuals for a 2-3 year postdoctoral research fellowship in the field of bio-informatics and/or applied mathematics.
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Tip of the Week: SNPexp, correlation between SNPs & gene expression | The OpenHelix Blog

SNPexp is a nice simple tool that uses PLINK to calculate the correlation (p-value) between SNPs in a given range of locations in the genome, or alternatively a list of specific SNP rsIDs, and the expression of a gene of interest. It combines the data from these two datasets: the HapMap project and GENEVAR *. It provides a simple web-based interface to allow you to make those calculations and to either download the results in a series of files, or to view the results as a custom track in the UCSC Genome Browser . Today’s tip gives you a quick introduction to using the tool. *GENEVAR is both a database of ”analysis of gene expression variation in the HapMap samples using genome-wide expression arrays (47294 transcripts) from EBV-transformed lymphoblastoid cell lines from the same 270 HapMap individuals AND a downloadable software tool to allow you to “perform analysis and visualization of associations between sequence variation and gene expression in eQTL studies.” http://blog.openhelix.eu/?p=9275