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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
Debian is Linux distribution composed of free and open source software, developed by community supported Debian Project, which was established by Ian Murdock on August 16, 1993.Debian comes with over 59000 packages (precompiled software that is bundled up in nice format for easy installation on your machine), package manager (APT), and other utilities that make it possible to manage thousands of packages on thousands of computers as easily as installing single application.
Proper citation: Debian (RRID:SCR_006638) Copy
Collection based on a collaborative effort of popular neuroscience research software for the Debian operating system as well as Ubuntu and other derivatives. Popular packages include AFNI, FSL, PyMVPA and many others. It contains both unofficial or prospective packages which are not (yet) available from the main Debian archive, as well as backported or simply rebuilt packages also available elsewhere. A listing of current and planned projects is available if you want to get involved. The main goal of the project is to provide a versatile and convenient environment for neuroscientific research that is based on open-source software. To this end, the project offers a package repository that complements the main Debian (and Ubuntu) archive. NeuroDebian is not yet another Linux distribution, but rather an effort inside the Debian project itself. Software packages are fully integrated into the Debian system and from there will eventually migrate into Ubuntu as well. With NeuroDebian, installing and updating neuroscience software is no different from any other part of the operating system. Maintaining a research software environment becomes as easy as installing an editor. There is also virtual machine to test NeuroDebian on Windows or Mac OS. If you want to see your software packaged for Debian, please drop them a note.
Proper citation: neurodebian (RRID:SCR_004401) Copy
Alignment software for large-scale protein contact or protein-protein interaction prediction optimized for speed through shorter runtimes. FreeContact provides the opportunity to compute contact predictions in any environment (desktop or cloud).
Proper citation: FreeContact (RRID:SCR_016113) Copy
http://pfind.ict.ac.cn/se/plink/
Software dedicated for the analysis of chemically cross-linked proteins or protein complexes using mass spectrometry., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: pFind Studio: pLink (RRID:SCR_000084) 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
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://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://proteinprophet.sourceforge.net/
Software that automatically validates protein identifications made on the basis of peptides assigned to MS/MS spectra by database search programs such as SEQUEST.
Proper citation: ProteinProphet (RRID:SCR_000286) 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
Curated protein-protein and genetic interaction repository of raw protein and genetic interactions from major model organism species, with data compiled through comprehensive curation efforts.
Proper citation: Biological General Repository for Interaction Datasets (BioGRID) (RRID:SCR_007393) Copy
http://bioinfo3d.cs.tau.ac.il/FlexProt/
FlexProt detects the optimal flexible structural alignment of a pair of protein structures. The first structure is assumed to be rigid, while in the second structure potential flexible regions are automatically detected.
Proper citation: FlexProt: flexible protein alignment (RRID:SCR_007306) Copy
Software platform, general technologies and theoretical supports for computational biology with the grand aim to make precise whole cell simulation at the molecular level possible.Technologies include formalisms and techniques, including technologies to predict, obtain or estimate parameters such as reaction rates and concentrations of molecules in the cell. The E-Cell System is a software platform for modeling, simulation and analysis of complex, heterogeneous and multi-scale system like the cell. The E-Cell Project is open to anyone who shares the view with u that development of cell simulation technology, and, even if such ultimate goal might not be within ten years of reach yet, solving various conceptual, computational and experimental problems that will continue to arise in the course of pursuing it, may have a multitude of eminent scientific, medical and engineering impacts on our society.
Proper citation: Electronic Cell Project (RRID:SCR_007381) Copy
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