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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://www.ch.embnet.org/software/BOX_form.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. This server takes a multiple-alignment file in either GCG''s MSF-format or Clustals ALN-format. Sponsors: This resource was supported by the Swiss EMBnet Node Server. Keywords: Server, Multiple-alignment,, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: BOXSHADE 3.21 (RRID:SCR_007165) Copy
Integrative database of germ-line V genes from the immunoglobulin loci of human and mouse. It presents V gene sequences extracted from the EMBL nucleotide sequence database and Ensembl together with links to the respective source sequences. Based on the properties of the source sequences, V genes are classified into 3 different classes: * Class 1: genomic and rearranged evidence * Class 2: genomic evidence only * Class 3: rearranged evidence only This allows careful sequence quality validation by the user. References to other immunological databases ( KABAT, IMGT/LIGM and VBASE ) are given to provide all public annotation data for each V gene. The VBASE2 database can be accessed either by the Direct Query interface or by the DNAPLOT Query interface. The Sequences given by the user are aligned with DNAPLOT against the VBASE2 database. Direct Query allows to enter sequence IDs and names (Field 1), choose species, locus, V gene family and class (Field 2) or search for 100% sequences (Field 3). At the DNAPLOT Query, the sequences given by the user are aligned with DNAPLOT against the VBASE2 database. The DNAPLOT program offers V gene nucleotide sequence alignment referring to the IMGT V gene unique numbering. The Quick Search can be used either for Direct Query to search for sequence IDs and V gene names or for DNAPLOT Query for up to 5 sequences. The new Fab Analysis allows you to align Fab, scFab, scAb or scFv sequences with DNAPLOT against the VBASE2 database, where both heavy and light chain are analyzed.
Proper citation: VBASE2 (RRID:SCR_007082) Copy
DICOMscope is a free DICOM viewer which can display uncompressed, monochrome DICOM images from all modalities and which supports monitor calibration according to DICOM part 14 as well as presentation states. The application is rather a feasibility study for DICOM presentation states. DICOMscope offers a print client (DICOM Basic Grayscale Print Management) which also implements the optional Presentation LUT SOP Class.
Proper citation: DICOMscope (RRID:SCR_007344) Copy
https://github.com/steinmann/peakzilla
An algorithm to identify transcription factor binding sites from ChIP-seq data.
Proper citation: Peakzilla (RRID:SCR_007471) Copy
http://gene3d.biochem.ucl.ac.uk/Gene3D/
A large database of CATH protein domain assignments for ENSEMBL genomes and Uniprot sequences. Gene3D is a resource of form studying proteins and the component domains. Gene3D takes CATH domains from Protein Databank (PDB) structures and assigns them to the millions of protein sequences with no PDB structures using Hidden Markov models. Assigning a CATH superfamily to a region of a protein sequence gives information on the gross 3D structure of that region of the protein. CATH superfamilies have a limited set of functions and so the domain assignment provides some functional insights. Furthermore most proteins have several different domains in a specific order, so looking for proteins with a similar domain organization provides further functional insights. Strict confidence cut-offs are used to ensure the reliability of the domain assignments. Gene3D imports functional information from sources such as UNIPROT, and KEGG. They also import experimental datasets on request to help researchers integrate there data with the corpus of the literature. The website allows users to view descriptions for both single proteins and genes and large protein sets, such as superfamilies or genomes. Subsets can then be selected for detailed investigation or associated functions and interactions can be used to expand explorations to new proteins. The Gene3D web services provide programmatic access to the CATH-Gene3D annotation resources and in-house software tools. These services include Gene3DScan for identifying structural domains within protein sequences, access to pre-calculated annotations for the major sequence databases, and linked functional annotation from UniProt, GO and KEGG., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: Gene3D (RRID:SCR_007672) Copy
https://code.google.com/p/ampliconnoise/
A collection of programs for the removal of noise from 454 sequenced PCR amplicons. This project also includes the Perseus algorithm for chimera removal.
Proper citation: AmpliconNoise (RRID:SCR_007814) Copy
http://claire.bardel.free.fr/software.html
Software package to perform phylogeny based association and localization analysis.Used for association detection and localization of susceptibility sites using haplotype phylogenetic trees. Performs these two phylogeny-based analysis: tests association between candidate gene and disease; pinpoints markers (SNPs) that are putative disease susceptibility loci.
Proper citation: ALTree (RRID:SCR_007562) Copy
Gene Expression Atlas is a semantically enriched database of meta-analysis based summary statistics over a curated subset of ArrayExpress Archive, servicing queries for condition-specific gene expression patterns as well as broader exploratory searches for biologically interesting genes/samples. The EBI Gene Expression Atlas Blog discusses ideas, features and problems of creating a large scale meta-analytical atlas of gene expression from publicly available microarray data. Atlas REST API provides all the results available in the main web application in a pragmatic, easy to use form - simple HTTP GET queries as input and either JSON or XML formats as output. Gene Expression Atlas goals: 1. Provision of a statistically robust framework for integration of gene expression experiment results across different platforms at a meta-analytical level 2. A simple interface for identifying strong differential expression candidate genes in conditions of interest 3. Integration of ontologies for high quality annotation of gene and sample attributes 4. Construction of new gene expression summarized views, with a view to analysis of putative signaling pathway targets, discovery of correlated gene expression patterns and the identification of condition/tissue-specific patterns of gene expression.
Proper citation: Gene Expression Atlas (RRID:SCR_007989) Copy
http://www.ensembl.org/info/docs/tools/vep/index.html
Data analysis service to predict the functional consequences of known and unknown variants.
Proper citation: Variant Effect Predictor (RRID:SCR_007931) Copy
http://etest.vbi.vt.edu/etblast3/
eTBLAST is a unique search engine for searching biomedical literature. Our service is very different from PubMed. While PubMed searches for keywords, our search engine lets you input an entire paragraph and returns MEDLINE abstracts that are similar to it. This is something like PubMed''s Related Articles feature, only better because it runs on your unique set of interests. For example, input the abstract of an unpublished paper or a grant proposal into our engine, and with the touch of a button you''ll be able to find every abstract in MEDLINE dealing with your topic. No more guessing whether your set of keywords has found all the right papers. No more sorting through hundreds of papers you don''t care about to find the handful you were looking for--our search engine does it for you. When most people use PubMed to search MEDLINE they pick one or two keywords to describe their topic, then browse through a long list of results. When they find a paper that looks interesting they click on its Related Articles, in hopes of finding more papers like that one. If they find another relevant paper, they explore it''s related articles--and so on. This process of culling long lists of documents by hand makes literature searching tedious and time consuming. We make it easier for you by providing better results the first time, and then allowing you to automatically combine the papers you care about for a second round. Our Iterate feature allows you to checkmark the abstracts you found interesting in the first round and combine them all to create a new query. It''s like rolling several Related Articles lists into one. * We sort our results by relevance, while PubMed sorts by date. * We save you the time and effort of creating a complicated query. * We let you iterate your search over several good papers to narrow your focus. * We provide you the full MEDLINE abstract in our results, and a link to the PubMed page. * We can send your results straight to your email so you never lose a reference or forget where you found it. * This absolutely free service is provided by the University of Texas Southwestern Medical Center. No registration necessary!
Proper citation: eTBlast (RRID:SCR_008188) Copy
http://ophid.utoronto.ca/navigator/
A software package for visualizing and analyzing protein-protein interaction networks. NAViGaTOR can query OPHID / I2D - online databases of interaction data - and display networks in 2D or 3D. To improve scalability and performance, NAViGaTOR combines Java with OpenGL to provide a 2D/3D visualization system on multiple hardware platforms. NAViGaTOR also provides analytical capabilities and supports standard import and export formats such as GO and the Proteomics Standards Initiative (PSI). NAViGaTOR can be installed and run on Microsoft Windows, Linux / UNIX, and Mac OS systems. NAViGaTOR is written in Java and uses JOGL (Java bindings for OpenGL) to support scalability, highlighting or suppressing of information, and other advanced graphic approaches.
Proper citation: Network Analysis, Visualization and Graphing TORonto (RRID:SCR_008373) Copy
http://sourceforge.net/projects/ngsrich/
Software for target enrichment performance for next-generation sequencing.
Proper citation: NGSrich (RRID:SCR_001333) Copy
http://www.bioconductor.org/packages/release/bioc/html/pickgene.html
Software for adaptive Gene Picking for Microarray Expression Data Analysis.
Proper citation: pickgene (RRID:SCR_001331) Copy
https://www.bioconductor.org/packages//2.10/bioc/html/oneChannelGUI.html
Software library that provides a graphical interface for microarray gene and exon level analysis as well as miRNA/mRNA-seq data analysis. The package was developed to simplify the use of Bioconductor tools for beginners having limited or no experience in writing R code.
Proper citation: oneChannelGUI (RRID:SCR_001325) Copy
http://itb.biologie.hu-berlin.de/~futschik/software/R/cycle/index.html
Software package for the identification of periodically expressed genes using Fourier analysis and the statistical assessment of significance using different background models.
Proper citation: CYCLE (RRID:SCR_001328) Copy
http://bioinf.wehi.edu.au/affylmGUI/
R software package providing a Graphical User Interface for analysis of Affymetrix microarray data, using the limma package (Linear Models for MicroArray data). While not as powerful as limma to the expert user, it offers a simple point-and-click interface to many of the commonly-used limma and affy functions. You need to have R 1.9.0 or later, Tcl/Tk 8.3 or later (ActiveTcl for Windows, Tcl/Tk Source for Linux/Unix, or X11 Tcl/Tk for MacOSX) and the limma, affylmGUI, and tkrplot R packages. It has been succesfully tested on Windows 2000, Windows XP, RedHat/Fedora Linux, and on Mac OSX with X11.
Proper citation: affylmGUI (RRID:SCR_001320) Copy
http://www.bioconductor.org/packages/release/bioc/html/plgem.html
Software to detect differential expression in microarray and proteomics datasets. Its use has been shown to improve the detection of differentially expressed genes or proteins in these datasets.
Proper citation: plgem (RRID:SCR_001355) Copy
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