HitSeekR is a web platform for analyzing high-throughput screening (HTS) data of various types, from miRNA (inhibitor) screens and RNAi assays to CRISPER/cas9 and drug response screens. It can accommodate, normalize, etc. small to ultra-large scale, and it turns your HTS data into a systems biology story.
SPRINT (Simple Parallel R INTerface) is a parallel framework for R. It provides an easy access to high performance computing for the analysis of high throughput post genomic data using the statistical programming language R.
::DEVELOPER
SPRINT Team <sprint@ed.ac.uk>, EPCC, The University of Edinburgh,
SPRINT: a new parallel framework for R.
Hill J, Hambley M, Forster T, Mewissen M, Sloan TM, Scharinger F, Trew A, Ghazal P.
BMC Bioinformatics. 2008 Dec 29;9:558. doi: 10.1186/1471-2105-9-558.
RSVSim is a package for the simulation of deletions, insertions, inversion, tandem-duplications and translocations of various sizes in any genome available as FASTA-file or BSgenome data package. SV breakpoints can be placed uniformly accross the whole genome, with a bias towards repeat regions and regions of high homology (for hg19) or at user-supplied coordinates.
::DEVELOPER
Christoph Bartenhagen <christoph.bartenhagen at uni-muenster.de>
RReportGenerator provides a simple and user-friendly graphical user interface (GUI) allowing to run routine statistical analysis using R via predefined analysis scenarios in a local and independent manner. Of course, the large variety of additional libraries on CRAN and Bioconductor may be used with the analysis scenarios. The results (text, figures and tables) are automatically assembled into a report in pdf- (or dvi) format. This may be accompanied by an additional file(s) for exporting (specific) results to other applications (spread-sheet programs, web-browser etc).
The Funmap package is developed to identify quantitative trait loci (QTL) for a longitudinal, or vectorized, phenotypic trait as based on the Funmap model
The R/fGWAS2 (Functional Genome-wide Association Studies) is developed as a new package for genome-wide association studies based on a single SNP analysis . It provides three separate methods.
CARMAweb (Comprehensive R-based Microarray Analysis web service) is a web application designed for the analysis of microarray data. CARMAweb performs data preprocessing (background correction, quality control and normalization), detection of differentially expressed genes, cluster analysis, dimension reduction and visualization, classification, and Gene Ontology-term analysis. This web application accepts raw data from a variety of imaging software tools for the most widely used microarray platforms: Affymetrix GeneChips, spotted two-color microarrays and Applied Biosystems (ABI) microarrays.