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" section) ############# GitHub : https://github.com/jbrayet/ncpro-seq
GEOSS (Gene Expression Open Source System), formerly known as GeneX Va, provides a web-based interface for the storage and analysis of Affymetrix GeneChipŽ and other microarray data. It has been developed by engineers at the GeneChip/Microarray Bioinform
A collection of bioinformatics-related software created by members of Cancer Research UK (possibly among others).
City of Hope CpG Island Analysis Pipeline
COHCAP (City of Hope CpG Island Analysis Pipeline) is an algorithm to analyze single-nucleotide resolution methylation data (Illumina 450k methylation array, targeted BS-Seq, etc.). It provides QC metrics, differential methylation for CpG Sites, differential methylation for CpG Islands, integration with gene expression data, and visualization of methylation values. Please note: 1) The standalone version of COHCAP is no longer being updated. Please see the Bioconductor version: http://bioconductor.org/packages/release/bioc/html/COHCAP.html 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) Bioconductor Custom Annotation Files (including EPIC Array): https://sourceforge.net/projects/cohcap/files/additional_Bioconductor_annotations.zip/download
Classification Algorithm Based on a Bayesian method for Genomics
Assessing mRNA integrity directly from RNA-Seq data
A pipeline to define allele-specific genomic features
Detecting allelic biases from high-throughput sequencing data requires an approach that maximises sensitivity while minimizing false positives. Here we present Allelome.PRO, an automated userfriendly bioinformatics pipeline, which uses high-throughput sequencing data from reciprocal crosses of two genetically distinct mouse strains to detect allele-specific expression and chromatin modifications. Allelome.PRO extends approaches used in previous studies that exclusively analysed imprinted expression to give a complete picture of the “allelome” by automatically categorising the allelic expression of all genes in a given cell type into imprinted, strain-biased biallelic or noninformative. Allelome.PRO offers increased sensitivity to analyse lowly expressed transcripts, together with a robust false discovery rate empirically calculated from variation in the sequencing data.
PAN And Core-gEnome Analysis
A tool to calculate the Pan-Genome of a set of annotated genomes
MICROSATELIGHT is a Perl/Tk graphical user interface (GUI) that facilitates several tasks when scoring microsatellites.
P2EMA (Perl Pipeline to Expedite Microsatellite Analysis)
A header file (cexcept.h) that provides Try/Throw/Catch macros similar to those available in C++ for error handling.
ALEXA-Seq is a method for using massively parallel paired-end transcriptome sequencing for 'alternative expression analysis'.
ANDES. This is a library and a set of applications that can be used to analyze the results of deep sequencing results. (See Li et al.: ANDES: Statistical tools for the ANalyses of DEep Sequencing. BMC Research Notes 2010 3:199.)
Bidirectional Functional Enrichment of Gene Expression Data
BD-Func is an algorithm to predict activation or inhibition of pathways based upon gene expression patterns. If you use BD-Func, please cite: Warden C, Kanaya N, Chen S, and Yuan Y-C. (2013) BD-Func: A Streamlined Algorithm for Predicting Activation and Inhibition of Pathways. peerJ, 1:e159
Beer festival cellar management database and related software.
The BeerFest DB project will be designed as a reusable software package to help organize beer festivals and record information concerning past events. Initially it will focus on tracking cask information (e.g., ordering, sales, quality control).
The Canopy project is an initiative to merge and expand the functionality of Perl-speaks-NONMEM (PsN), Census, Xpose and PopED. The goal is to produce a coherent, inclusive and convenient platform for pharmacometric data analysis.
Celsius is a data warehouse that provides web services for upload, archival, download, annotation, quantification, and normalization of all Affymetrix microarray platforms.
ClinStudyWeb is designed to provide a flexible infrastructure for managing patient and assay data from clinical studies. It uses a plugin system for study-specific web forms and arbitrarily complex test classifiers, and supports XML import/export.
CORe microBiome Analysis Tools
Corbata is a set of statistical tools that can be used to analyze the core microbiome across a set of samples.
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. For each gene the user provides, DEW computes coverage descriptive statistics (RPKM, FKMP and total, mean and median corrected counts), expression profiles (normalized as R/FPKM and trimmed mean of fold change). DEW allows users to explore the data by providing interactive graphs.
Enrichment analysis for customized organisms
Open, extensible web-based collaborative platform for microarray gene expression, sequence and PPI data analysis, exposing distinct chainable components for clustering, pattern discovery, statistics (thru R), machine-learning algorithms and visualization
Improved base-calling for homopolymer-sensitive next-gen data.
The current software contains the implementation for the 454 pyrosequencing platform.