Search Results for "rna-seq"
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Showing 24 open source projects for "rna-seq"
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SPiCEv2.1
Splicing Prediction in Consensus Element
SPiCE is no longer maintained. To access the tool's predictions, please use SPiP, accessible at : https://sourceforge.net/projects/splicing-prediction-pipeline/ or https://github.com/raphaelleman/SPiP If you have questions, please contact me to: r.leman@baclesse.unicancer.fr or raphael.leman@orange.fr v2.1.5 (05/2019) + corr (01/2020): Fix bug for linux version v2.1.4 (03/2019): Proxy management (only for Windows version) v2.1.3 (07/2018): correction bug for first 3' ss import vcf... -
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viRome
R code/package for virus small RNA sequence data
Please use code here: https://github.com/mw55309/viRome_legacy -
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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 Please note: 1) The SourceForge version of COHCAP is no longer being updated.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... -
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bspipe
An End-to-End Analysis Pipeline for BS-seq
... 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... -
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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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ncPRO-seq
Non-Coding RNA PROfiling from sRNA-seq
ncPRO-seq is a tool for annotation and profiling of ncRNAs from smallRNA sequencing data. It aims to interrogate and perform detailed analysis on small RNAs derived from annotated non-coding regions in miRBase, piRBase, Rfam and repeatMasker, and regions defined by users. The ncPRO pipeline also has a module to identify regions significantly enriched with short reads that can not be classified as known ncRNA families. ############# Docker version : download and run Dockerfile (go in "Files... -
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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...
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EDDA
Experiment Design for Differential Abundance Analysis
EDDA is a tool for systematic assessment of the impact of experimental design and the statistical test used on the ability to detect differential abundance. EDDA can aid in the design of a range of common experiments such as RNA-seq, ChIP-seq, Nanostring assays, RIP-seq and Metagenomic sequencing, and enables researchers to comprehensively investigate the impact of experimental decisions on the ability to detect differential abundance. More details of EDDA can be found at Luo, Huaien et al... -
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DESN
Differential activE sub-Network (DEN): R/Bioconductor based package
Living cells are complex, dynamic, self-regulatory, interactive systems, showing differential states across time and space. Complexity of cellular systems is highlighted with the multi-layered regulatory mechanisms involving the interactions between bio-molecules (such as DNA, RNA, mi-RNA and proteins). These interactions are analyzed in the form of static networks. Likewise, number of experimental techniques like microarray, RNASeq allows quantification of cellular dynamics and aid... -
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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. To allow a flexible and comprehensive analysis of smallRNA-Seq data we designed a novel modular... -
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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... -
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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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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... -
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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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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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