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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.
http://mutdb.org/mutpredsplice/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 6,2023. Tool for identifying coding region variants which disrupt pre-mRNA splicing and the underlying mechanism.
Proper citation: MutPred Splice (RRID:SCR_000594) Copy
https://cab.spbu.ru/software/spades/
Software package for assembling single cell genomes and mini metagenomes. Uses short read sets as input. Used for genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. Works with Illumina or IonTorrent reads and can provide hybrid assemblies using PacBio, Oxford Nanopore and Sanger reads. Intended for small genomes like bacterial or fungal., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: SPAdes (RRID:SCR_000131) Copy
http://www.koada.com/koadarray/
A fully automatic array image analysis software which can process single or multiple array images. Koadarray automatically finds the spot locations within each image and quantifies the spot intensity data. It can be used in conjunction with radioactive applications, macroarray applications, fluorescent microarray image analysis and fluorescent microplate images.
Proper citation: Koadarray (RRID:SCR_000321) Copy
http://cran.r-project.org/web/packages/CpGassoc/index.html
Software R package to test association between methylation at CpG sites across genome and phenotype of interest, adjusting for any relevant covariates. Can perform standard analyses of large datasets without need to manually input data. Can handle mixed effects models with chip or batch entering model as random intercept. Includes tools to apply quality control filters, perform permutation tests, and create QQ plots, manhattan plots, and scatterplots for individual CpG sites.
Proper citation: CpGassoc (RRID:SCR_000320) Copy
https://github.com/princelab/mspire-simulator
A free, open-source shotgun proteomic simulator that goes beyond previous simulation attempts by generating LC-MS features with realistic m/z and intensity variance along with other noise components.
Proper citation: Mspire-Simulator (RRID:SCR_001431) Copy
A collection of high quality multiple sequence alignments for objective, comparative studies of alignment algorithms. The alignments are constructed based on 3D structure superposition and manually refined to ensure alignment of important functional residues. A number of subsets are defined covering many of the most important problems encountered when aligning real sets of proteins. It is specifically designed to serve as an evaluation resource to address all the problems encountered when aligning complete sequences. The first release provided sets of reference alignments dealing with the problems of high variability, unequal repartition and large N/C-terminal extensions and internal insertions. Version 2.0 of the database incorporates three new reference sets of alignments containing structural repeats, trans-membrane sequences and circular permutations to evaluate the accuracy of detection/prediction and alignment of these complex sequences.
Within the resource, users can look at a list of all the alignments, download the whole database by ftp, get the "c" program to compare a test alignment with the BAliBASE reference (The source code for the program is freely available), or look at the results of a comparison study of several multiple alignment programs, using BAliBASE reference sets.
Proper citation: BAliBASE (RRID:SCR_001940) Copy
Society that develop standards for biological research data quality, annotation and exchange. They facilitate the creation and use of software tools that build on these standards and allow researchers to annotate and share their data easily. They promote scientific discovery that is driven by genome wide and other biological research data integration and meta-analysis. Historically, FGED began with a focus on microarrays and gene expression data. However, the scope of FGED now includes data generated using any technology when applied to genome-scale studies of gene expression, binding, modification and other related applications.
Proper citation: FGED (RRID:SCR_001897) Copy
An organization composed of biochemical, clinical, cytogenetic, medical and molecular geneticists, genetic counselors and other health care professionals committed to the practice of medical genetics to Improve Health Through Medical Genetics. The American College of Medical Genetics and Genomics will: * Define and promote excellence in the practice of medical genetics and genomics in the integration of translational research into practice; * Promote and provide medical genetics and genomics education; * Increase access to medical genetics and genomics services and integrate them into patient care; * Advocate for and represent providers of medical genetics and genomics services and their patients; and * Maintain structure and integrity of ACMG and its value to members and the public.
Proper citation: American College of Medical Genetics and Genomics (RRID:SCR_005769) Copy
National voluntary specialty organization that serves its members, governments and public by Certifying individuals who provide medical genetics services, Establishing professional and ethical standards of medical genetics services, Establishing standards of medical genetics training, Providing professional and public education, Informing public policy.
Proper citation: Canadian College of Medical Geneticists (RRID:SCR_003013) Copy
A national mouse monoclonal antibody generating resource for biochemical and immunohistochemical applications in mammalian brain. NeuroMabs are generated from mice immunized with synthetic and recombinant immunogens corresponding to components of the neuronal proteome as predicted from genomic and other large-scale cloning efforts. Comprehensive biochemical and immunohistochemical analyses of human, primate and non-primate mammalian brain are incorporated into the initial NeuroMab screening procedure. This yields a subset of mouse mAbs that are optimized for use in brain (i.e. NeuroMabs): for immunocytochemical-based imaging studies of protein localization in adult, developing and pathological brain samples, for biochemical analyses of subunit composition and post-translational modifications of native brain proteins, and for proteomic analyses of native brain protein networks. The NeuroMab facility was initially funded with a five-year U24 cooperative grant from NINDS and NIMH. The initial goal of the facility for this funding period is to generate a library of novel NeuroMabs against neuronal proteins, initially focusing on membrane proteins (receptors/channels/transporters), synaptic proteins, other neuronal signaling molecules, and proteins with established links to disease states. The scope of the facility was expanded with supplements from the NIH Blueprint for Neuroscience Research to include neurodevelopmental targets, the NIH Roadmap for Medical Research to include epigenetics targets, and NIH Office of Rare Diseases Research to include rare disease targets. These NeuroMabs will then be produced on a large scale and made available to the neuroscience research community on an inexpensive basis as tissue culture supernatants or purified immunoglobulin by Antibodies Inc. The UC Davis/NIH NeuroMab Facility makes NeuroMabs available directly to end users and is unable to accommodate sales to distributors for third party distribution. Note, NeuroMab antibodies are now offered through antibodiesinc.
Proper citation: NeuroMab (RRID:SCR_003086) Copy
http://www.vigenetech.com/microvigeneV3.0.htm
Automated software program for image analysis based on microarray based image application. Various output styles are available, including image overlay with warping and registration and scattered correlation plot with 2D or 3D spot profile. Outputs can be formatted in text, xml, excel, or custom format.
Proper citation: MicroVigene (RRID:SCR_002820) Copy
Division of NCI that takes prospective cancer detection and treatment leads, facilitates their paths to clinical application, and expedites the initial and subsequent large-scale testing of new agents, biomarkers, imaging tests, and other therapeutic interventions (radiation, surgery, immunotherapy) in patients. DCTD, like all of NCI, supports many programs that could not be done without government funding - investigators supported by the division engage in scientifically sound, high-risk research that may yield great benefits for patients with cancer, but are too difficult or risky for industry or academia to pursue. This includes a particular emphasis on the development of distinct molecular signatures for cancer, refined molecular assays, and state-of-the-art imaging techniques that will guide oncologic therapy in the future. The division has eight major programs that work together to bring unique molecules, diagnostic tests, and therapeutic interventions from the laboratory bench to the patient bedside: * Cancer Diagnosis Program * Cancer Imaging Program * Cancer Therapy Evaluation Program * Developmental Therapeutics Program * Radiation Research Program * Translational Research Program * Biometrics Research Branch * Office of Cancer Complementary and Alternative Medicine
Proper citation: DCTD (RRID:SCR_004196) Copy
http://img.jgi.doe.gov/cgi-bin/m/main.cgi
Resource for analysis and annotation of genome and metagenome datasets in comprehensive comparative context. IMG provides users with tools for analyzing publicly available genome datasets and metagenome datasets.
Proper citation: IMG System (RRID:SCR_002965) Copy
http://www.portugene.com/SPInDel/SPInDel_webworkbench.html
A multifunctional workbench for species identification using insertion/deletion variants. The SPInDel workbench provides a step-by-step environment for the alignment of target sequences, selection of informative hypervariable regions, design of PCR primers and the statistical validation of the species-identification process. It includes a large dataset comprising nearly 1,800 numeric profiles for the identification of eukaryotic, prokaryotic and viral species.
Proper citation: SPInDel (RRID:SCR_004509) Copy
http://www.jainlab.org/downloads.html
Automatic software program for microarray image quantification.
Proper citation: UCSF Spot (RRID:SCR_002985) Copy
http://wukong.tongji.edu.cn/pepid
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A database to store the curated epigenetic data from studies of prostate cancer retrieved by literature mining. The Prostate Epigenetic Database (PEpiD) is meant as a resource for finding previous studies of prostate cancer in humans, mice and rats. Searches can be targeted through the categories of DNA methylation, histone modification, and microRNA.
Proper citation: PEpiD (RRID:SCR_000235) Copy
http://www.sanger.ac.uk/cgi-bin/teams/team30/arnie
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 1,2023. Database that integrates the extracellular protein interaction network generated in our lab using AVEXIS technology with spatiotemporal expression patterns for all genes in the network. The tool allows users to browse the network by clicking on individual proteins, or by specifying the spatiotemporal parameters. Clicking on connector lines will allow users to compare stage-matched expression patterns for genes encoding interacting proteins. Additionally, users can rapidly search for their genes in the network using the BLAST server provided.
Proper citation: ARNIE (RRID:SCR_000514) Copy
http://www.ncbi.nlm.nih.gov/medgen/
A database of organized information related to human medical genetics, such as attributes of conditions with a genetic contribution.
Proper citation: MedGen (RRID:SCR_000111) Copy
http://cbcsrv.watson.ibm.com/phylopythia.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 1, 2023. Data analysis service for accurate phylogenetic classification of variable-length DNA fragments.
Proper citation: PhyloPythia (RRID:SCR_000540) Copy
http://apoptoproteomics.uio.no/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A database of resources on cancer processes such as cell death. It is a subset of a larger database on cancer proteomics that focuses on anti-cancer drugs and cancer types in addition to cancer processes. It utilizes scientific articles from PubMed, UniProt and other resources along with information such as author information, sample types and useful hyperlinks.
Proper citation: Cell Death Proteomics Database (RRID:SCR_000200) Copy
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