Tools   Select Another Resource Report Type

http://bioinf.uta.fi/BTKbase/

A mutation registry for X-linked agammaglobulinemia (XLA). BTKbase lists mutation entries of 1,111 patients from 973 unrelated families showing 602 unique molecular events. Agammaglobulinemia is characterized by failure to produce mature B lymphocyte cells and is associated with a failure of Ig heavy chain rearrangement. Two thirds of cases are familial, and one third of cases are believed to arise from new mutations. Mutations of the BTK gene are found in approximately 80% of patients with agammaglobulinemia. The localization of the mutations on the gene and protein for BTK can be analyzed by clicking sequences on the web pages. It includes a mutation browser, which gives users access to mutations in Bruton tyrosine kinase (BTK) protein sequences, and XLA fact file, and forms for users to submit mutation to the dataset.

Proper citation: BTKbase (RRID:SCR_013101) Copy   

•   Source: SciCrunch Registry

http://dorina.mdc-berlin.de/rbp_browser/dorina.html

In animals, RNA binding proteins (RBPs) and microRNAs (miRNAs) post-transcriptionally regulate the expression of virtually all genes by binding to RNA. Recent advances in experimental and computational methods facilitate transcriptome-wide mapping of these interactions. It is thought that the combinatorial action of RBPs and miRNAs on target mRNAs form a post-transcriptional regulatory code. We provide a database that supports the quest for deciphering this regulatory code. Within doRiNA, we are systematically curating, storing and integrating binding site data for RBPs and miRNAs. Users are free to take a target (mRNA) or regulator (RBP and/or miRNA) centric view on the data. We have implemented a database framework with short query response times for complex searches (e.g. asking for all targets of a particular combination of regulators). All search results can be browsed, inspected and analyzed in conjunction with a huge selection of other genome-wide data, because our database is directly linked to a local copy of the UCSC genome browser. At the time of writing, doRiNA encompasses RBP data for the human, mouse and worm genomes. For computational miRNA target site predictions, we provide an update of PicTar predictions.

Proper citation: doRiNA (RRID:SCR_013222) Copy   

•   Source: SciCrunch Registry

http://agem.cnb.csic.es/VisualOmics/aGEM/

Database platform of an integrated view of eight databases (mouse gene expression resources: EMAGE, GXD, GENSAT, BioGPS, ABA, EUREXPRESS; human gene expression databases: HUDSEN, BioGPS and Human Protein Atlas) that allows the experimentalist to retrieve relevant statistical information relating gene expression, anatomical structure (space) and developmental stage (time). Moreover, general biological information from databases such as KEGG, OMIM and MTB is integrated too. It can be queried using gene and anatomical structure. Output information is presented in a friendly format, allowing the user to display expression maps and correlation matrices for a gene or structure during development. An in-depth study of a specific developmental stage is also possible using heatmaps that relate gene expression with anatomical components. This is a powerful tool in the gene expression field that makes easy the access to information related to the anatomical pattern of gene expression in human and mouse, so that it can complement many functional genomics studies. The platform allows the integration of gene expression data with spatial-temporal anatomic data by means of an intuitive and user friendly display., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: aGEM (RRID:SCR_013349) Copy   

•   Source: SciCrunch Registry

http://www.deathdomain.org/

A manually curated database of protein-protein interactions for Death Domain Superfamily. The Death Domain Database provides a detailed summary of PPI data, which fits into 3 categories: interaction, characterization, and functional role. Users can find in-depth information specified in the literature on relevant analytical methods, structural information. The DD superfamily currently comprises four subfamilies: * Death domain (DD) subfamily * Death effector domain (DED) subfamily * Caspase recruitment domain (CARD) subfamily * Pyrin domain (PYD) subfamily

Proper citation: Death Domain database (RRID:SCR_013231) Copy   

•   Source: SciCrunch Registry

http://db.systemsbiology.net/kaviar/

A database containing a compilation of SNVs, indels, and complex variants observed in humans, designed to facilitate testing for the novelty and frequency of observed variants.

Proper citation: KAVIAR (RRID:SCR_013737) Copy   

•   Source: SciCrunch Registry

http://servers.binf.ku.dk/bloodspot/

Database that provides gene expression profiles of genes and gene signatures in healthy and malignant hematopoiesis and includes data from both humans and mice. In addition to the default plot, which displays an integrated expression plot, two additional levels of visualization are available: an interactive tree showing the hierarchical relationship between the samples, and a Kaplan-Meier survival plot. The database is sub-divided into several datasets that are accessible for browsing.

Proper citation: BloodSpot (RRID:SCR_015563) Copy   

•   Source: SciCrunch Registry

http://compartments.jensenlab.org/Downloads

Web resource that integrates evidence on protein subcellular localization from manually curated literature, high-throughput screens, automatic text mining, and sequence-based prediction methods. All evidence is mapped to common protein identifiers and Gene Ontology terms, and further unify it by assigning confidence scores that facilitate comparison of the different types and sources of evidence and visualize these scores on a schematic cell.

Proper citation: COMPARTMENTS Subcellular localization database (RRID:SCR_015561) Copy   

•   Source: SciCrunch Registry

https://www.proteomicsdb.org/

Database for the identification of the human proteome and its use across the scientific community. Users can browse proteins and chromosomes and contribute to the data repository.

Proper citation: ProteomicsDB (RRID:SCR_015562) Copy   

•   Source: SciCrunch Registry

https://senselab.med.yale.edu/MicroCircuitDB/

A database for storing and efficiently retrieving realistic computational models of brain microcircuits and networks. The focus is on microcircuits that are based on experimentally demonstrated properties of neurons and their connectivity.

Proper citation: MicrocircuitDB (RRID:SCR_014577) Copy   

•   Source: SciCrunch Registry

http://biocc.hrbmu.edu.cn/CellMarker/

Database provides cell markers for various cell types in tissues of human and mouse. Manually curated resource of cell markers in human and mouse. Provides user-friendly interface for browsing, searching and downloading markers of diverse cell types of different tissues. Summarized marker prevalence in each cell type is graphically presented., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: CellMarker (RRID:SCR_018503) Copy   

•   Source: SciCrunch Registry

http://www.mrmatlas.org/

Resource of targeted proteomics assays to detect and quantify proteins in complex proteome digests by mass spectrometry. Used to quantify the complete human proteome.

Proper citation: SRMAtlas (RRID:SCR_016996) Copy   

•   Source: SciCrunch Registry

http://mimic.physionet.org/

Collection of comprising deidentified health related data associated with patients who stayed in critical care units of Beth Israel Deaconess Medical Center between 2001 and 2012. Database includes information such as demographics, vital sign measurements made at bedside (~1 data point per hour), laboratory test results, procedures, medications, caregiver notes, imaging reports, and mortality (both in and out of hospital).

Proper citation: Medical Information Mart for Intensive Care-III (RRID:SCR_017384) Copy   

•   Source: SciCrunch Registry

https://brads.nichd.nih.gov/Home/

Access to data from the Division of Intramural Population Health Research (DIPHR) of the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) from completed studies, including biospecimens and ancillary data.

Proper citation: Biospecimen Repository Access and Data Sharing (RRID:SCR_017383) Copy   

•   Source: SciCrunch Registry

https://www.tfcheckpoint.org/

Collection of transcription factors annotated according to experimental and other evidence on their function as true DbTFs. Provides reference for both small scale experiments and genome scale studies. Curated compendium of specific DNA-binding RNA polymerase II transcription factors.

Proper citation: tfcheckpoint (RRID:SCR_023880) Copy   

•   Source: SciCrunch Registry

http://www.ifpcs.org/albinism/

Database of mutations associated with all major known forms of oculocutaneous and ocular albinism. The Albinism Database is part of the Locus Specific Mutation Databases of the Human Genome Variation Society and accepts the submission of new mutations. A link is provided for submission of new mutations. Columns in the database include: type of albinism, human locus, omim link, link to table of mutations and polymorphisms, and map of mutation locations.

Proper citation: Albinism database (RRID:SCR_000632) Copy   

•   Source: SciCrunch Registry

http://www2.niddk.nih.gov/NR/rdonlyres/8E99FCF4-8A92-43EE-8E47-5B70D634938A/0/AUABPH.pdf

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. Adapted from the American Urology Association Symptom Score for Benign Prostatic Hyperplasia, this chart will assist physicians, researchers, and patients in assessing the severity of the problem.

Proper citation: Symptom Score for Benign Prostatic Hyperplasia (RRID:SCR_000127) Copy   

•   Source: SciCrunch Registry

http://www.nihtoolbox.org/WhatAndWhy/Cognition/Language/Pages/NIH-Toolbox-Picture-Vocabulary-Test.aspx

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A measure of receptive vocabulary that is administered in a computerized adaptive format. The respondent is presented with an audio recording of a word and four photographic images on the computer screen and is asked to select the picture that most closely matches the meaning of the word. This test takes approximately 4 minutes to administer and is recommended for ages 3-85.

Proper citation: NIH Toolbox Picture Vocabulary Test (RRID:SCR_000166) Copy   

•   Source: SciCrunch Registry

http://www.nihtoolbox.org/WhatAndWhy/Sensation/Audition/Pages/NIH-Toolbox-Words-in-Noise-(WIN)-Test.aspx

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Assessment test that measures how much difficulty a person might have hearing in a noisy environment. A recorded voice instructs the participant to listen to and then repeat words. The task becomes increasingly difficult as the background noise gets louder. This test was developed to measure a person's ability to recognize single words presented amid varying levels of background noise. Recommended for participants ages 6-85 and takes approximately six minutes to administer.

Proper citation: NIH Toolbox Words-in Noise Test (RRID:SCR_000174) Copy   

•   Source: SciCrunch Registry

http://psychology-tools.com/buss-perry-aggression-questionnaire

A 29 item aggression assessment where participants rank certain statements along a 5 point continuum from "extremely uncharacteristic of me"to "extremely characteristic of me". The scores are normalized on a scale of 0 to 1, with 1 being the highest level of aggression. The questionnaire returns scores for 4 dimensions of aggression: Physical Aggression, Verbal Aggression, Anger, Hostility.

Proper citation: Buss-Perry Aggression Questionnaire (RRID:SCR_000177) Copy   

•   Source: SciCrunch Registry

https://neuroscienceblueprint.nih.gov/Resources-Tools/Blueprint-Resources-Tools-Library

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 22, 2023. National initiative to advance biomedical research through data sharing and online collaboration that provides data sharing infrastructure, software tools, strategies and advisory services. Groups may choose whether to share data internally or with external audiences. Hardware and data remain under control of individual user groups.

Proper citation: Biomedical Informatics Research Network (RRID:SCR_005163) Copy   

•   Source: SciCrunch Registry