BOL

Experience in Next Generation Sequencing (NGS) application and interest in Genomics/ Clinical / Translational Applications. OR Good computational programming skills and deep interest in working on interface of Genomics and Clinical application....

Workflow Managers

github.com - Tool for detecting and cleaning PacBio / Nanopore long reads after whole genome amplification. Check the poster from the Revolutionizing Next-Generation Sequencing (2nd edition) conference in the source...

github.com - Binaries of ngs-bits are available via Bioconda. Alternatively, ngs-bits can be built from sources: Binaries for Linux/macOS From sources for Linux/macOS From sources for Windows

github.com - FQC is software that facilitates quality control of FASTQ files by carrying out a QC protocol using FastQC, parsing results, and aggregating quality metrics into an interactive dashboard designed to richly summarize individual sequencing runs. The...

github.com - Filtlong is a tool for filtering long reads by quality. It can take a set of long reads and produce a smaller, better subset. It uses both read length (longer is better) and read identity (higher is better) when choosing which reads pass the...

github.com - tardis Toolkit for Automated and Rapid DIscovery of Structural variants Requirements zlib (http://www.zlib.net)mrfast (https://github.com/BilkentCompGen/mrfast)htslib (included as submodule; http://htslib.org/)Fetching tardis git clone...

www.docker.com - dockr 0.8.6 is now available on CRAN. dockr is a minimal toolkit to build a lightweight Docker container image for your R package, in which the package itself is available. The Docker image seeks to mirror your R session as close as possible with...

github.com - MetaPred2CS Web server is a meta-predictor based on Support Vector Machine (SVM) that combines 6 individual sequence based protein-protein interaction prediction methods to predict prokaryotic two-component...

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...