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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.
https://wiki.nci.nih.gov/display/LexEVS/LexGrid
LexGrid (Lexical Grid) provides support for a distributed network of lexical resources such as terminologies and ontologies via standards-based tools, storage formats, and access/update mechanisms. The Lexical Grid Vision is for a distributed network of terminological resources. It is the foundation of the National Center for Biomedical Ontology BioPortal interface and web-services, and can parse OBO format, as well as other formats such as OWL. Currently, there are many terminologies and ontologies in existence. Just about every terminology has its own format, its own set of tools, and its own update mechanisms. The only thing that most of these pieces have in common with each other is their incompatibility. This makes it very hard to use these resources to their full potential. We have designed the Lexical Grid as a way to bridge terminologies and ontologies with a common set of tools, formats and update mechanisms. The Lexical Grid is: * accessible through a set of common APIs * joined through shared indices * online accessible * downloadable * loosely coupled * locally extendable * globally revised * available in web-space on web-time * cross-linked The realization of this vision requires three interlocking components, which are: * Standards - access methods and formats need to be published and openly available * Tools - standards based tools must be readily available * Content - commonly used terminologies have to be available for access and download Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible
Proper citation: LexGrid (RRID:SCR_006627) Copy
Visualization and analysis software for interactive visual exploration and mining of fiber-tracts and brain networks with their genetic determinants and functional outcomes. BECA includes an fMRI and Diseases Analysis version as well as a Genome Explorer version.
Proper citation: BECA (RRID:SCR_015846) Copy
http://ccb.jhu.edu/software/hisat2/index.shtml
Graph-based alignment of next generation sequencing reads to a population of genomes.
Proper citation: HISAT2 (RRID:SCR_015530) Copy
http://www.findmice.org/index.jsp
Database of mouse strains and stocks available worldwide, that will assist international research community in finding mouse resources they need, including inbred, mutant, and genetically engineered mice. IMSR is multi institutional international collaboration supporting use of mouse as model system for studying human biology and disease. IMSR began with initial collaboration between Mouse Genome Informatics (MGI) group at Jackson Laboratory and Medical Research Council Mammalian Genetics Unit at Harwell. Additional institutions and collaborators are now contributing mouse resource information to IMSR. Data content found in IMSR is as it was supplied by data provider sites. You are encouraged to participate in making this database as complete as possible for all worldwide mouse strain resources. If you or your institution hold mice, cryopreserved gametes or embryos, or ES cell lines that you distribute to other researchers, contributing information about them to IMSR catalog will make them more widely known.
Proper citation: International Mouse Strain Resource (RRID:SCR_001526) Copy
Data and tools for studying the function of DNA sequences, with an emphasis on those involved in the production of hemoglobin. It includes information about naturally-occurring human hemoglobin mutations and their effects, experimental data related to the regulation of the beta-like globin gene cluster, and software tools for comparing sequences with one another to discover regions that are likely to play significant roles.
Proper citation: Globin Gene Server (RRID:SCR_001480) Copy
http://www.ncbi.nlm.nih.gov/guide/sitemap/
The National Center for Biotechnology Information''s listing of resources. Sort by alphabetical character, Databases, Downloads, Submissions, Tools and How-To; or by Topic: Chemicals & Bioassays; Data & Software; DNA & RNA; Domains & Structures; Genes & Expression; Genetics & Medicine; Genomes & Maps; Homology; Literature; Proteins; Sequence Analysis; Taxonomy; Training & Tutorials; Variation.
Proper citation: NCBI Resource List (RRID:SCR_005628) Copy
http://sourceforge.net/apps/mediawiki/mummergpu/index.php?title=MUMmerGPU
Software tool as high throughput DNA sequence alignment program that runs on nVidia G80-class GPUs. Aligns sequences in parallel on video card to accelerate widely used serial CPU program MUMmer.
Proper citation: MUMmerGPU (RRID:SCR_001200) Copy
https://gillisweb.cshl.edu/Primate_MTG_coexp/
We aligned single-nucleus atlases of middle temporal gyrus (MTG) of 5 primates (human, chimp, gorilla, macaque and marmoset) and identified 57 consensus cell types common to all species. We provide this resource for users to: 1) explore conservation of gene expression across primates at single cell resolution; 2) compare with conservation of gene coexpression across metazoa, and 3) identify genes with changes in expression or connectivity that drive rapid evolution of human brain.
Proper citation: Gene functional conservation across cell types and species (RRID:SCR_023292) Copy
https://lincsportal.ccs.miami.edu/signatures/home
Primary access point for compendium of LINCS data with substantial changes in data architecture and APIs, completely redesigned user interface, and enhanced curated metadata annotations to support more advanced, intuitive and deeper querying, exploration and analysis capabilities. LINCS datasets are accessible at data point level enabling users to directly access and download any subset of signatures across entire library independent from originating source, project or assay. Newly designed query interface enables global metadata search with autosuggest across all annotations associated with perturbations, model systems, and signatures.
Proper citation: LINCS Data Portal 2.0 (RRID:SCR_022566) Copy
https://www.ccpn.ac.uk/v2-software/software/extras/datamodelfolder
Model to cover data for macromolecular NMR spectroscopy from the initial experimental data to the final validation. Used for the large scale data deposition, data mining and program interoperability. Enables movement from one software package to another without difficulties with data conversion or loss of information. Works with CcpNmr Analysis software for analysis and interactive display, CcpNmr FormatConverter for allowing transfer of data from programs used in NMR to and from the Data Model, and the CLOUDS software for automated structure calculation and assignment. Used within the CCPN software suite for NMR spectroscopy and at the BioMagResBank for converting existing deposited restraint lists to a standard IUPAC nomenclature.
Proper citation: CCPN Data Model (RRID:SCR_016982) Copy
http://arrowsmith.psych.uic.edu/cgi-bin/arrowsmith_uic/AnneOTate.cgi
Web search tool to gain overview of set of articles retrieved by PubMed query. Used to support user driven summarization, drill down and browsing of PubMed search results. Value-added PubMed search engine for analysis and text mining.
Proper citation: Anne O'Tate (RRID:SCR_023086) Copy
https://evidencemodeler.github.io/
Software tool for automated eukaryotic gene structure annotation that reports eukaryotic gene structures as weighted consensus of all available evidence. Used to combine ab intio gene predictions and protein and transcript alignments into weighted consensus gene structures. Inputs include genome sequence, gene predictions, and alignment data (in GFF3 format).
Proper citation: EVidenceModeler (RRID:SCR_014659) Copy
https://glimmpse.samplesizeshop.org/#/
Web based software tool that calculates power and sample size for study designs with normally distributed outcomes. Permits power calculations for clinical trials, randomized experiments, and observational studies with clustering, repeated measures, and both, and almost any testable hypothesis. GLIMMPSE Version 3 release back end has been refactored in Python, interface has been simplified, requiring user decisions about only one topic per screen, new menu improves specification of both between-participant and within-participant hypothese, recursive algorithm permits computing covariances for up to ten levels of clustering., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: GLIMMPSE (RRID:SCR_016297) Copy
https://www.robotreviewer.net/about
Open source web based system that uses machine learning and NLP to semi automate biomedical evidence synthesis, to aid practice of Evidence Based Medicine. Processes full text journal articles describing randomized controlled trials. Designed to automatically extract key data items from reports of clinical trials.
Proper citation: RobotReviewer (RRID:SCR_021064) Copy
http://www.ncbi.nlm.nih.gov/pmc/about/pubreader/
A web application which serves as an alternate way to read scientific literature in PubMed Central and Bookshelf. PubReader features an easy-to-read multi-column display, a figure strip for access to figures, and a search function. It is designed especially to support reading on tablets and other smaller devices but is available for reading on laptops and desktops.
Proper citation: PubReader (RRID:SCR_013814) Copy
http://www.nitrc.org/projects/hdbig/
A collection of software tools for high dimensional brain imaging genomics. These tools are designed to perform comprehensive joint analysis of heterogeneous imaging genomics data. HDBIG-SR is an HDBIG toolkit for sparse regression while HDBIG-SCCA is an HDBIG toolkit for sparse association.
Proper citation: HDBIG (RRID:SCR_014120) Copy
http://www.nitrc.org/projects/score/
A collection of methods for comparing the performance of different image algorithms. These methods generate quantitative scores that measure divergences to a standard.
Proper citation: SCORE (RRID:SCR_014165) Copy
http://snyderome.stanford.edu/
Data set generated by personal omics profiling of Dr. Michael Snyder at Stanford University. It combines genomic, transcriptomic, proteomic, metabolomic, and autoantibody profiles from a single individual over a 14 month period. The analysis revealed various medical risks, including type II diabetes. It also uncovered extensive, dynamic changes in diverse molecular components and biological pathways across healthy and diseased conditions.
Proper citation: iPOP (RRID:SCR_008991) Copy
https://pypi.org/project/pmlb/
Python wrapper for Penn Machine Learning Benchmark data repository. Large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms. Part of PyPI https://pypi.org/
Proper citation: Penn machine learning benchmark repository (RRID:SCR_017138) Copy
https://github.com/nlm-irp-jianglab/SpikeHunter
Software deep learning tool for identifying phage tailspike proteins. Used to identify phage tailspike proteins.
Proper citation: SpikeHunter (RRID:SCR_024831) Copy
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