Search Results for "miarma-seq"
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Showing 18 open source projects for "miarma-seq"
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COHCAP
City of Hope CpG Island Analysis Pipeline
COHCAP (City of Hope CpG Island Analysis Pipeline, pronounced "co-cap") is an algorithm to analyze single-nucleotide resolution methylation data (Illumina 450k methylation array, targeted BS-Seq, etc.). Please note: 1) The SourceForge version of COHCAP is no longer being updated. Please see the GitHub version: https://github.com/cwarden45/COHCAP This was the source repository for the Bioconductor version, with some changes after the decision to only provide the code through GitHub. 2) In addition to the original NAR paper, please see the following links: Benchmarks: http://www.nature.com/protocolexchange/protocols/2965#/introduction Protocol Exchange Files: http://sourceforge.net/projects/cohcap/files/Protocol_Exchange_Example.zip 3) Custom Annotation Files (including EPIC Array): https://sourceforge.net/projects/cohcap/files/additional_Bioconductor_annotations.zip/download -
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bspipe
An End-to-End Analysis Pipeline for BS-seq
BSpipe is a comprehensive pipeline from sequence quality control and mapping to functional analysis of differentially methylated regions: (1) sequencing quality assessment, (2) sequence cleaning, (3) sequence read mapping, (4) methylation quantification, (4) sample comparisons based on methylation profile, (5) identification of DMRs (differentially methylated regions), (6) annotation of DMRs, (7) functional analysis of differentially methylated genes, (8) generation of input files for visualization, and (9) support for advanced sequencing technologies such as TAB-seq, OxBS-seq, MAP-it, and NOMe-seq. -
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gogadget
A toolbox for interpretation and visualization of RNA-seq GO analysis
gogadget is an R package, and can help with the visualization and interpretation of GO enrichment analysis of RNA-seq data. It is developed especially for the use in combination with goseq. The functions that are available in this package are extensively described in the user's guide. To install the package download the "gogadget_2.1.tar.gz" file, open R and install with the following line: install.packages( "C:/your/directory/gogadget_2.1.tar.gz", repos = NULL, type="source") The package was made in R 3.4.2 on a Windows 7 computer, and is also tested on Ubuntu. ... -
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fourSig
Analyze 4C-seq data.
fourSig is a suite of programs for analyzing and visualizing 4C-seq data. -
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Ericscript is a computational framework to detect gene fusions from paired end RNA-seq data with high sensitity and specificity.
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mRIN
Assessing mRNA integrity directly from RNA-Seq data
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HeatmapGenerator is a graphical user interface software program written in C++, R, and OpenGL to create customized gene expression heatmaps from RNA-seq and microarray data in medical research. HeatmapGenerator can also be used to make heatmaps in a variety of other non-medical fields. HeatmapGenerator is peer-reviewed published software (http://www.scfbm.org/content/9/1/30). Please cite: [Khomtchouk et al.: "HeatmapGenerator: High performance RNAseq and microarray visualization software suite to examine differential gene expression levels using an R and C++ hybrid computational pipeline." ...
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iMir
Integrated pipeline for HT miRNA-Seq data analysis
Processing of smallRNA-Seq data to gather biologically relevant information requires application of multiple statistical and bioinformatics tools from different sources, each focusing on a specific step of the analysis pipeline. The analytical workflow can be challenging for the continuous interventions by the operator, a critical factor when large numbers of datasets need to be analyzed at once. -
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Digital Expression on the Web
DEW is a platform that allows users to explore RNA-Seq data
DEW is a platform that allows users to explore RNA-Seq data. A web-based Graphical User Interface is included. The analysis proceeds as such: gapped alignments are performed and corrected for length, PCR and fragment bias so that a Fragment Per (effective) Kilobase per Million of reads (FPKM) is estimated as well as the simpler Reads Per Kb per Million of reads (RPKM). When provided with multiple isoforms and in the ‘contextual’ mode, corrections include a expectation maximization algorithm estimates effective expression profiles and a corrected alignment is produced. ... -
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QUASI is a toolkit to rapidly assess the quality of shRNA-Seq based data and call differential abundance using common statistical inference methods (DESeq, edgeR, baySeq).
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IMPACT is an integrated multi-read peak calling tool for ChIP-Seq data. IMPACT utilizes multi-reads in calling peaks and provides users with high-confidence peaks. In addition, IMPACT provides a completely integrated pipeline which produces downstream analysis results such as motif discovery and peak-to-gene annotation.
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Deem
Analyze time-course data with significance tests, clustering, modeling
Use statistical methods to analyze time-course data (gene expression microarray and RNA-seq data in particular, but not limited to). Apply significance tests to filter out only significant genes or time series. Cluster time series into similar groups. Generate network models, including linear or non-linear models. Variable selection and optimization routines included. Written in Scala and R. The application is a cross-platform desktop app with a simple GUI and is fully functional currently. ... -
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Pop-seq
Population simulator to solve next generation sequencing questions
Pop-seq is a perl based simulation tool, for generating any kind of mapping population using an user defined recombination landscapes. Combined with the Seq-sim tool you can generate pooled or bar-coded next generation sequencing biased outcomes. This tool were used to solve reappearing question in a experimental design (e. g. of how many plants or sequencing depth is advisable in a back crossed or out crossed scenario ) -
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rTRM
Identification of transcriptional regulatory modules (TRMs)
This R package can be used to identify TRMs using experimental evidence from a single ChIP-seq experiment. It combines computational predicted transcription factor (TF) binding sites, gene expression and protein-protein interaction (PPI) data and use it to predict TRMs. -
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rnasimulase
Simulation of allele-specific RNA-seq data
Simulation of allele-specific RNA-seq data -
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ALEXA-Seq is a method for using massively parallel paired-end transcriptome sequencing for 'alternative expression analysis'.
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DuffyRNAseq is an R package that implements an analysis pipeline for processing RNA-seq data from Illumina NextGen sequencers, to measure gene transcription and differential expression.
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