Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
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.
http://droog.gs.washington.edu/ldSelect.html
Software program that analyzes patterns of linkage disequilibrium (LD) between polymorphic sites in a locus, and bins the SNPs on the basis of a threshold level of LD as measured by r2. (entry from Genetic Analysis Software), THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: LDSELECT (RRID:SCR_007010) Copy
http://www.homepages.ed.ac.uk/pmckeigu/admixmap/index.html
General-purpose program for modelling admixture, using marker genotypes and trait data on a sample of individuals from an admixed population (such as African-Americans), where the markers have been chosen to have extreme differentials in allele frequencies between two or more of the ancestral populations between which admixture has occurred. The main difference between ADMIXMAP and classical programs for estimation of admixture such as ADMIX is that ADMIXMAP is based on a multilevel model for the distribution of individual admixture in the population and the stochastic variation of ancestry on hybrid chromosomes. This makes it possible to model the associations of ancestry between linked marker loci, and the association of a trait with individual admixture or with ancestry at a linked marker locus. (entry from Genetic Analysis Software)
Proper citation: ADMIXMAP (RRID:SCR_009035) Copy
https://github.com/gaow/genetic-analysis-software/blob/master/pages/MOSCPHASER.md
THIS RESOURCE IS NO LONGER IN SERVICE, documented September 29, 2016. Software application for inferring haplotypes composed of both CNV alleles and SNP alleles.
Proper citation: MOSCPHASER (RRID:SCR_009092) Copy
https://github.com/gaow/genetic-analysis-software/blob/master/pages/GLUE.md
THIS RESOURCE IS NO LONGER IN SERVCE, documented September 6, 2016. A web interface to several commonly used statistical genetics programs, including Linkage, Genehunter, Merlin, Unphased, and Transmit. It simplifies their use through graphical selection of program options, automation of multiple analyses, and viewing of graphical output. GLUE is available to HGMP account holders; registration is free to all academic users., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: GLUE (RRID:SCR_009211) Copy
http://www.well.ox.ac.uk/~mfarrall/twoloc.htm
Software package for analyzing two-locus susceptibility gene models in affected sib-pair data (entry from Genetic Analysis Software)
Proper citation: TWOLOC (RRID:SCR_009230) Copy
http://www.daimi.au.dk/~mailund/GeneRecon/
Software application for linkage disequilibrium mapping using coalescent theory. It is based on a Bayesian Markov-chain Monte Carlo (MCMC) method for fine-scale linkage-disequilibrium gene mapping using high-density marker maps. GeneRecon explicitly models the genealogy of a sample of the case chromosomes in the vicinity of a disease locus. Given case and control data in the form of genotype or haplotype information, it estimates a number of parameters, most importantly, the disease position. (entry from Genetic Analysis Software)
Proper citation: GENERECON (RRID:SCR_009195) Copy
http://statgen.ncsu.edu/zaykin/htr.html
Software application for haplotype association mapping using unrelated individuals; fixed and sliding window analysis; overall tests and tests for individual haplotype effects (entry from Genetic Analysis Software)
Proper citation: HTR (RRID:SCR_009241) Copy
http://steps.sourceforge.net/STEPS/default.php
STEPS is a package for exact stochastic simulation of reaction-diffusion systems in realistic, complex 3D geometries. Our core simulation algorithm is an efficient implementation of a variation on Gillespie''s SSA, extended to deal with diffusion of molecules over the elements of a 3D tetrahedral mesh. While it was mainly developed for simulating detailed models of neuronal signaling pathways in dendrites and around synapses, it is a general tool and can be used for studying any biochemical pathway in which spatial gradients and morphology are thought to play a role. We have implemented STEPS as a set of Python modules, which means STEPS users can use Python scripts to control all aspects of setting up the model, generating a mesh, controlling the simulation and generating and analyzing output. The core computational routines are still implemented as C/C++ extension modules for maximal speed of execution.
Proper citation: STEPS (RRID:SCR_008742) Copy
http://wpicr.wpic.pitt.edu/WPICCompGen/hclust/hclust.htm
Software application that is a simple clustering method that can be used to rapidly identify a set of tag SNP's based upon genotype data (entry from Genetic Analysis Software), THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: HCLUST (RRID:SCR_009154) Copy
Software Python package for parsing, validating, compiling, and converting networks encoded in Biological Expression Language.Package consists of network data container, parser and validator, network database manager, data converter and network visualizer. Computational framework for Biological Expression Language. Used to pars BEL documents, validate their semantics, and facilitate data interchange between common formats and database systems like JSON, CSV, Excel, SQL, CX, and Neo4J.
Proper citation: PyBEL (RRID:SCR_017660) Copy
http://www.genoscope.cns.fr/gmove
Software tool for genome annotation. Eukaryotic gene prediction tool focused on evidence supported by expressed sequences like transcripts and conserved proteins alignments. Can be used to reannotate genomes, to do comparative gene prediction and improve existing genome annotation. Can predict gene models with canonical and non-canonical splice sites.
Proper citation: Gmove (RRID:SCR_019132) Copy
http://www.jstacs.de/index.php/GeMoMa
Software tool as homology based gene prediction program that predicts gene models in target species based on gene models in evolutionary related reference species. Utilizes amino acid sequence conservation, intron position conservation, and RNA-seq data to accurately predict protein-coding transcripts. Supports combination of predictions based on several reference species allowing to transfer high quality annotation of different reference species to target species.
Proper citation: GeMoMa (RRID:SCR_017646) Copy
https://github.com/zhanxw/MB-GAN
Software tool as deep learning simulation framework for simulating realistic microbiome data. Can automatically learn from given microbial abundances and compute simulated abundances that are indistinguishable from it.
Proper citation: MB-GAN (RRID:SCR_019289) Copy
http://proteininformationresource.org/
Integrated public bioinformatics resource to support genomic, proteomic and systems biology research and scientific studies. Provides databases and protein sequence analysis tools to scientific community, including Protein Sequence Database which grew out from the Atlas of Protein Sequence and Structure. Conducts research in biomedical text mining and ontology, computational systems biology, and bioinformatics cyberinfrastructure. In 2002 PIR, along with its international partners, EBI (European Bioinformatics Institute) and SIB (Swiss Institute of Bioinformatics), were awarded a grant from NIH to create UniProt, a single worldwide database of protein sequence and function, by unifying the PIR-PSD, Swiss-Prot, and TrEMBL databases. Currently, PIR major activities include: i) UniProt (Universal Protein Resource) development, ii) iProClass protein data integration and ID mapping, iii) PRO protein ontology, and iv) iProLINK protein literature mining and ontology development. The FTP site provides free download for iProClass, PIRSF, and PRO.
Proper citation: Protein Information Resource (RRID:SCR_002837) Copy
Curated, open-source, integrated data resource for comparative functional genomics in crops and model plant species to facilitate the study of cross-species comparisons using information generated from projects supported by public funds. It currently hosts annotated whole genomes in over two dozen plant species and partial assemblies for almost a dozen wild rice species in the Ensembl browser, genetic and physical maps with genes, ESTs and QTLs locations, genetic diversity data sets, structure-function analysis of proteins, plant pathways databases (BioCyc and Plant Reactome platforms), and descriptions of phenotypic traits and mutations. The web-based displays for phenotypes include the Genes and Quantitative Trait Loci (QTL) modules. Sequence based relationships are displayed in the Genomes module using the genome browser adapted from Ensembl, in the Maps module using the comparative map viewer (CMap) from GMOD, and in the Proteins module displays. BLAST is used to search for similar sequences. Literature supporting all the above data is organized in the Literature database. In addition, Gramene now hosts a variety of web services including a Distributed Annotation Server (DAS), BLAST and a public MySQL database. Twice a year, Gramene releases a major build of the database and makes interim releases to correct errors or to make important updates to software and/or data. Additionally you can access Gramene through an FTP site.
Proper citation: Gramene (RRID:SCR_002829) Copy
A software package that anayzes the structral details of RNA molecules through rapid quantification of a footprinting gel. By automating many of the steps involved in gel analysis, approximately one entire gel with thousands of bands can be quantified in less than 10 minutes using SAFA. In general, all the automated features have a manual override, such that even difficult or exceptional gels can be analyzed with the package.
Proper citation: SAFA Footprinting Software (RRID:SCR_002707) Copy
Only worldwide authority that provides standardized nomenclature, i.e. gene names and symbols (short form abbreviations), for all known human genes, and stores all approved symbols in the HGNC database. Approved human gene nomenclature. Database of gene symbols and names. Manually curated genes into groups based on shared characteristics such as homology, function or phenotype. Data for protein-coding genes, pseudogenes and non-coding RNAs.
Proper citation: HGNC (RRID:SCR_002827) Copy
http://swift.cmbi.ru.nl/gv/dssp/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Database of secondary structure assignments (and much more) for all protein entries in the Protein Data Bank (PDB) and the program that calculates DSSP entries from PDB entries. DSSP is distributed on a basis of trust and instructions are available on the site. * Precompiled executables are also available for Linux and Windows. (The Windows .exe file was compiled under Linux using Mingw32, has never seen a Windows environment and should thus be virus-free. Download the source if you want to be 100% sure.) Under Windows the DSSP output does not make it to the console, so redirect it to a file instead: dsspcmbi source.pdb destination.dssp > messages.txt * Several changes have been made to the DSSP program to solve problems with recent PDB files. These are documented in the source code. * FTP access to the DSSP files resides at the CMBI: ftp.cmbi.kun.nl/pub/molbio/data/dssp or ftp://ftp.ebi.ac.uk/pub/databases/dssp/. If you have problems downloading the DSSP files, it is likely that your FTP program is not able to handle tens of thousands of files in one directory. In this case, install a proper FTP program, for example NCFTP. However, it is recommended that you download DSSP files with the rsync command.
Proper citation: Database of Secondary Structure Assignments (RRID:SCR_002725) Copy
http://hapmap.ncbi.nlm.nih.gov/
THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. A multi-country collaboration among scientists and funding agencies to develop a public resource where genetic similarities and differences in human beings are identified and catalogued. Using this information, researchers will be able to find genes that affect health, disease, and individual responses to medications and environmental factors. All of the information generated by the Project will be released into the public domain. Their goal is to compare the genetic sequences of different individuals to identify chromosomal regions where genetic variants are shared. Public and private organizations in six countries are participating in the International HapMap Project. Data generated by the Project can be downloaded with minimal constraints. HapMap project related data, software, and documentation include: bulk data on genotypes, frequencies, LD data, phasing data, allocated SNPs, recombination rates and hotspots, SNP assays, Perlegen amplicons, raw data, inferred genotypes, and mitochondrial and chrY haplogroups; Generic Genome Browser software; protocols and information on assay design, genotyping and other protocols used in the project; and documentation of samples/individuals and the XML format used in the project.
Proper citation: International HapMap Project (RRID:SCR_002846) Copy
Computational biology resource for investigating candidate functional sites in eukarytic proteins. Functional sites which fit to the description linear motif are currently specified as patterns using Regular Expression rules. To improve the predictive power, context-based rules and logical filters are being developed and applied to reduce the amount of false positives. The current version of the ELM server provides core functionality including filtering by cell compartment, phylogeny, globular domain clash (using the SMART/Pfam databases) and structure. In addition, both the known ELM instances and any positionally conserved matches in sequences similar to ELM instance sequences are identified and displayed (see ELM instance mapper). Although the ELM resource contains a large collection of functional site motifs, the current set of motifs is not exhaustive.
Proper citation: Eukaryotic Linear Motif (RRID:SCR_003085) Copy
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the RRID Resources search. From here you can search through a compilation of resources used by RRID and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that RRID has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on RRID then you can log in from here to get additional features in RRID such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
You can save any searches you perform for quick access to later from here.
We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.
If you are logged into RRID you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the sources that were queried against in your search that you can investigate further.
Here are the categories present within RRID that you can filter your data on
Here are the subcategories present within this category that you can filter your data on
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.