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...: rpy2(v2.8.1), pysam(>0.8.4), pybedtools(v0.7.7) and wxpython (only for GUI form)
R with following packages: gplots, ggplot2, RColorBrewer, FactoMineR, kernlab, bnlearn, igraph, fastcluster, caret and ROCR
bedtools (2.16/2.17/2.25)
Manual & different forms of EpiMINE can be downloaded is available under "Browse Files" section
For any help, you can reach us at epimine.help@gmail.com
A Java application to analyse Molecular Inversion Probe sequencing data within short time.
Running the pipeline requires previous installation of three general tools: BWA, GATK and Bedtools.
Input:
For running the pipeline you need to specify 3 arguments. An example of the command is given below. The two input files are essential to specify the sample and run configuration. The environment argument should always be set to EMPTY. A brief description of other required files can be found...
Counts NGS read alignments against GTF annotations in a multithreaded and scalable fashion.
Benchmark: 8 core 1M annotations for 2Gb sorted reads ~30 seconds compared to ~28 minutes for bedtools multicov.
Files include:
fast_count_multi - reports all counts and RPKM, multithreading support
fast_count_deseq - reports gene counts in deseq compatible format, multithreading support
fast_count - reports all counts with no multithreading support.
usage
./fast_count_multi num_threads...
AnnotateGenomicRegions is a Java based web application that finds overlapping and/or neighboring genome annotations in a list of user-supplied genomic regions. As opposed to tools like CisGenome, BedTools, Bioconductor ChIPpeakAnno, or Galaxy, this tool is extremely easy to use and doesn't require downloading and installing software on the computer of the user nor any specific knowledge of the annotation software. Just copy and paste your regions or browse to a local text file containing your...
Deploy Red Hat Enterprise Linux on Microsoft Azure for a secure, reliable, and scalable cloud environment, fully integrated with Microsoft services.
Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
BEDTools is a suite of utilities for comparing genomic features in BED format. These utilities allow one to quickly address tasks such as: 1. Intersecting two BED files. 2. Merge overlapping features. 3. Paired-end overlaps.