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The goal of our research is to interpret and distill this complexity through accurate analysis and modeling of molecular pathways, particularly those in which malfunctions lead to the manifestation of disease. We are inventing integrative methods...

Third party executable parameters and...

Perl GD module installation in various operating systems

github.com - An increasing number of studies are mapping protein binding and nucleotide modifications sites throughout the transcriptome. Often, these sites cluster in certain regions of the transcript, giving clues to their function. Hence, it is informative to...

https://www.uksh.de/jobs/Stellenangebote-nr-20190570-p-8.html Your profile: Degree in bioinformatics, biostatistics, or equivalent Experience in the processing and analysis of large-scale genomics data using compute clusters / high-performance...

pevsnerlab.kennedykrieger.org - DRAGON: Database Referencing of Array Genes Online SNOMAD: Standardization and Normalization of Microarray Data SNPduo: SNP Analysis Between Two Individuals SNPtrio: Analyzing and Visualizing and Inheritance Patterns in Trios SNPscan: Data...

User-friendly tools for the normalization and visualization of deep-sequencing data

code.google.com - Perl module for creating geographic 10km-square maps using either SVG or PNG (with GD library) output format. Originally design to map the location of objects in a 10 km map IrishGrid includes: native support of the Irish Grid System (see...

The pacman package is an R package management tool that combines the functionality of base library related functions into intuitively named functions.

For a beginner this can be is the hardest part, it is also the most important to get right. It is possible to create a vector by typing data directly into R using the combine function ‘c’ x same as x creates the vector x...