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http://www.biostat.wisc.edu/~kendzior/EBSEQ/
Software R package for RNA-Seq Differential Expression Analysis.
Proper citation: EBSeq (RRID:SCR_003526) Copy
Collection of pathways and pathway annotations. The core unit of the Reactome data model is the reaction. Entities (nucleic acids, proteins, complexes and small molecules) participating in reactions form a network of biological interactions and are grouped into pathways (signaling, innate and acquired immune function, transcriptional regulation, translation, apoptosis and classical intermediary metabolism) . Provides website to navigate pathway knowledge and a suite of data analysis tools to support the pathway-based analysis of complex experimental and computational data sets.
Proper citation: Reactome (RRID:SCR_003485) Copy
A freely available software tool available for the Windows and Linux platform, as well as the Online version Applet, for the analysis, comparison and search of digital reconstructions of neuronal morphologies. For the quantitative characterization of neuronal morphology, LM computes a large number of neuroanatomical parameters from 3D digital reconstruction files starting from and combining a set of core metrics. After more than six years of development and use in the neuroscience community, LM enables the execution of commonly adopted analyses as well as of more advanced functions, including: (i) extraction of basic morphological parameters, (ii) computation of frequency distributions, (iii) measurements from user-specified subregions of the neuronal arbors, (iv) statistical comparison between two groups of cells and (v) filtered selections and searches from collections of neurons based on any Boolean combination of the available morphometric measures. These functionalities are easily accessed and deployed through a user-friendly graphical interface and typically execute within few minutes on a set of 20 neurons. The tool is available for either online use on any Java-enabled browser and platform or may be downloaded for local execution under Windows and Linux.
Proper citation: L-Measure (RRID:SCR_003487) Copy
https://code.google.com/p/mztab/
A Java interface to the mzTab data exchange format for reporting a summary of proteomics results.
Proper citation: jmzTab (RRID:SCR_003481) Copy
http://www.compgen.org/tools/metagen
Software program providing a method for meta-analysis of case-control genetic association studies using random-effects logistic regression.
Proper citation: metagen (RRID:SCR_003443) Copy
Research informatics and analytics platform for the IMI OncoTrack consortium.
Proper citation: eTRIKS (RRID:SCR_003765) Copy
http://genome.sph.umich.edu/wiki/RAREMETAL
A software program that facilitates the meta-analysis of rare variants from genotype arrays or sequencing.
Proper citation: RAREMETAL (RRID:SCR_003573) Copy
https://code.google.com/p/guardd/
MATLAB software designed to organize, automate, and enhance the analytical procedures which operate on CPMG RD NMR data.
Proper citation: GUARDD (RRID:SCR_000040) Copy
http://code.google.com/p/gasv/
Software tool for identifying structural variants (SVs) from paired-end sequencing data.GASV distribution includes three components that are typically run in succession: the BAM file of unique paired-read mappings is processed; structural variants are identified by clustering discordant fragments; and a probabilistic algorithm improves the specificity of GASV predictions.
Proper citation: GASV (RRID:SCR_000061) Copy
https://github.com/SciLifeLab/facs
Software for classification of Sequences using Bloom filters that can accurately and rapidly align sequences to a reference sequence.
Proper citation: FACS (RRID:SCR_000055) Copy
Consortium founded to establish mechanism-based taxonomies for Alzheimer's and Parkinson's disease and other neurodegenerative disorders (NDD), with the goal of facilitating development of more effective and targeted treatments. To do this, the consortium collects and analyzes data to: * Create new ways to combine underutilized data currently available in the literature, public databases, and from private companies * Determine how to dynamically organize and structure different types of knowledge about NDD * Determine how to apply this knowledge to construct new patient group classification * Identify correlations between disease features at molecular, tissue or organ-specific, and clinical levels * Identify sub-groups of patients based on the molecular cause of their disease, as opposed to the nature and location of their symptoms * Deliver data, tools, and recommendations for the biomedical community in the treatment of NDD A mechanism-based taxonomy is hoped to advance the: # Description and organization of the indication-specific data # Linking of data to disease models, based on causal and correlative relationships The expected outcome of AETIONOMY is a new NDD taxonomy system that distinguishes mixed pathologies, allowing for new features or classes to be added into the taxonomy, all with the goal of aiding drug and biomarker discovery.
Proper citation: AETIONOMY (RRID:SCR_000232) Copy
http://deweylab.biostat.wisc.edu/rsem/
Software package for quantifying gene and isoform abundances from single end or paired end RNA Seq data. Accurate transcript quantification from RNA Seq data with or without reference genome. Used for accurate quantification of gene and isoform expression from RNA-Seq data.
Proper citation: RSEM (RRID:SCR_000262) Copy
http://www.bioconductor.org/packages/release/bioc/html/GEOquery.html
Software that establishes a bridge between GEO and BioConductor.
Proper citation: GEOquery (RRID:SCR_000146) Copy
http://sourceforge.net/projects/gemsim/
A software package for generating realistic simulated next-generation genome sequencing reads with quality score values. The software is written in Python with a command-line user interface.
Proper citation: GemSIM (RRID:SCR_000167) Copy
http://bioconductor.org/packages/release/bioc/html/DESeq.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 30,2023. Software for differential gene expression analysis based on the negative binomial distribution. It estimates variance-mean dependence in count data from high-throughput sequencing assays and tests for differential expression.
Proper citation: DESeq (RRID:SCR_000154) Copy
http://www.bioconductor.org/packages/release/bioc/html/MIMOSA.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Software for modeling count data using Dirichlet-multinomial and beta-binomial mixtures with applications to single-cell assays.
Proper citation: MIMOSA (RRID:SCR_000184) Copy
http://acgt.cs.tau.ac.il/modent/
A computational tool that reconstructs gene regulatory networks from high throughput experimental data.
Proper citation: MODENT - A Tool For Reconstructing Gene Regulatory Networks (RRID:SCR_000220) Copy
https://github.com/vahuynh/dynGENIE3
An algorithm for the inference of gene regulatory networks from expression data.
Proper citation: GENIE3 (RRID:SCR_000217) Copy
http://www.uniklinikum-saarland.de/einrichtungen/fachrichtungen/humangenetik/software/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A software tool for predicting granzyme B and caspase cleavage sites.
Proper citation: GraBCas (RRID:SCR_000205) Copy
http://ribopicker.sourceforge.net/
Software to automatically identify and efficiently remove rRNA-like sequences from metatranscriptomic and metagenomic datasets.
Proper citation: riboPicker (RRID:SCR_000360) Copy
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