BOL

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...

cloud.google.com - Explore genetic variation interactively. Compare entire cohorts in seconds with SQL-like queries. Compute transition/transversion ratios, genome-wide association, allelic frequency and more. Process big genomic data easily. Run batch analyses...

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...

hgdownload.cse.ucsc.edu - This directory contains Genome Browser and Blat application binaries built for standalone command-line use on various supported Linux and UNIX platforms. To determine which set of binaries to download, type "uname -a" on the command line to display...

https://arvados.org/ - Arvados is a free and open source bioinformatics platform for genomic and biomedical data. User can Store | Organize | Compute | Share the data for free. 

sfu-compbio.github.io - SCALCE (/skeɪlz/, a.k.a. boosting Sequence Compression Algorithms using Locally ConsistentEncoding) is a tool for compressing FASTQ files. It is designed specifically for the Illumina-generated FASTQ files, but supports any...

www.broadinstitute.org - As the number of sequence and annotated genomes grows larger, the need to understand, compare, and contrast the data becomes increasingly important. Using the power of the human visual system to detect trends and spot outliers is necessary in such...

http://rast.nmpdr.org/ - The RAST (Rapid Annotation using Subsystem Technology) annotation engine was built in 2008 to annotate bacterial and archaeal genomes. It works by offering a standard software pipeline for identifying genomic features (i.e., protein-encoding genes...

www.khanacademy.org - Topics Displaying and describing data Modeling distributions of data Describing relationships in quantitative data Designing studies Probability Random variables Sampling distributions Confidence intervals (one sample) Significance tests...