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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://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
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://compbio.dfci.harvard.edu/amp/
THIS RESOURCE IS NO LONGER IN SERVICE, documented November 4, 2015. Web application based on the TM4 Microarray Software Suite to provide a means of normalization and analysis of microarray data. Users can upload data in the form of Affymetrix CEL files, and define an analysis pipeline by selecting several intuitive options. It performs data normalization (eg RMA), basic statistical analysis (eg t-test, ANOVA), and analysis of annotation using gene classification (eg Gene Ontology term assignment). The analysis are performed without user intervention and the results are presented in a web-based summary that allows data to be downloaded in a variety of formats compatible with further directed analysis.
Proper citation: Automated Microarray Pipeline (RRID:SCR_001219) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. ATGC stands for Alignable Tight Genomic Cluster, which is cluster of closely related prokaryotic genomes. ATGC is the principal notion of this web resource. The purpose of this web resource is to prepare ATGC-derived data sets for a variety of research projects in functional and evolutionary genomics. Unique features of ATGC include: * Reliable identification of orthologs (high degree of similarity between the genomes in the set allow an extensive use of synteny in ortholog identification); * Fine granularity of protein classification (in comparisons of more distant genomes, proteins belonging to families of paralogs are often lumped into a singlegroup; under the ATGC approach, comparison of genomic sequences from highly similar genomes allows one to track each set of orthologs separately); * Relative rarity of changes of any kind (in sequence, genome organization and gene content) allows the use of parsimony-related methods of analysis.
Proper citation: Alignable Tight Genomic Cluster (RRID:SCR_001894) Copy
Collection of data of protein sequence and functional information. Resource for protein sequence and annotation data. Consortium for preservation of the UniProt databases: UniProt Knowledgebase (UniProtKB), UniProt Reference Clusters (UniRef), and UniProt Archive (UniParc), UniProt Proteomes. Collaboration between European Bioinformatics Institute (EMBL-EBI), SIB Swiss Institute of Bioinformatics and Protein Information Resource. Swiss-Prot is a curated subset of UniProtKB.
Proper citation: UniProt (RRID:SCR_002380) Copy
THIS RESOURCE IS NO LONGER IN SERVICE, documented July 15, 2016. Database containing location and descriptive information about a wide variety of information resources including organizations, research resources, projects, and databases concerned with health and biomedicine. This information may not be readily available in bibliographic databases. Each record may contain information on the publications, holdings, and services provided. These information resources fall into many categories including federal, state, and local government agencies; information and referral centers; professional societies; self-help groups and voluntary associations; academic and research institutions and their programs; information systems and research facilities. Topics include HIV/AIDS, maternal and child health, most diseases and conditions including genetic and other rare diseases, health services research and technology assessment. DIRLINE can be searched using subject words (such as disease or condition) including Medical Subject Headings (MeSH) or for the name or location of a resource. It now offers an A to Z list of over 8,500 organizations.
Proper citation: Directory of Health Organizations Online (RRID:SCR_002331) Copy
http://lcg.rit.albany.edu/dp-bind
This web-server takes a user-supplied sequence of a DNA-binding protein and predicts residue positions involved in interactions with DNA. Prediction can be performed using a profile of evolutionary conservation of the input sequence automatically generated by the web-server or the input sequence alone. Three prediction methods are run for each input sequence and consensus prediction is generated.
Proper citation: DP-Bind: a web server for sequence-based prediction of DNA-binding residues in DNA-binding proteins (RRID:SCR_003039) Copy
Web server based on the Enhancer Identification (EI) method, to determine the chromosomal location and functional characteristics of distant regulatory elements (REs) in higher eukaryotic genomes. The server uses gene co-expression data, comparative genomics, and combinatorics of transcription factor binding sites (TFBSs) to find TFBS-association signatures that can be used for discriminating specific regulatory functions. DiRE's unique feature is the detection of REs outside of proximal promoter regions, as it takes advantage of the full gene locus to conduct the search. DiRE can predict common REs for any set of input genes for which the user has prior knowledge of co-expression, co-function, or other biologically meaningful grouping. The server predicts function-specific REs consisting of clusters of specifically-associated TFBSs, and it also scores the association of individual TFs with the biological function shared by the group of input genes. Its integration with the Array2BIO server allows users to start their analysis with raw microarray expression data.
Proper citation: Distant Regulatory Elements (RRID:SCR_003058) 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
Open source software library for multi dimensional image analysis in Python, R, Java, C#, Lua, Ruby, TCL and C++. New interface to Insight Segmentation and Registration Toolkit (ITK) designed to facilitate rapid prototyping, education and scientific activities via high level programming languages. Provides easy to use and simplified interface to ITK's algorithms.
Proper citation: SimpleITK (RRID:SCR_024693) Copy
https://github.com/EpistasisLab/ReBATE
Open source software Python package to compare relief based feature selection algorithms used in data mining. Used for feature selection in any bioinformatics problem with potentially predictive features and target outcome variable, to detect feature interactions without examination of all feature combinations, to detect features involved in heterogeneous patterns of association such as genetic heterogeneity .
Proper citation: ReBATE (RRID:SCR_017139) Copy
A website which assigns molecular functional effects of non-synonymous SNPs based on structure and sequence analysis.
Proper citation: SNPs3D (RRID:SCR_010787) Copy
http://www.benoslab.pitt.edu/comir/
Data analysis service that predicts whether a given mRNA is targeted by a set of miRNAs. ComiR uses miRNA expression to improve and combine multiple miRNA targets for each of the four prediction algorithms: miRanda, PITA, TargetScan and mirSVR. The composite scores of the four algorithms are then combined using a support vector machine trained on Drosophila Ago1 IP data.
Proper citation: ComiR (RRID:SCR_013023) Copy
http://clip.med.yale.edu/presto/
Software toolkit for processing raw reads from high-throughput sequencing of lymphocyte repertoires.
Proper citation: pRESTO (RRID:SCR_001782) 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
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://www.robotreviewer.net/
Software tool as machine learning system that automatically assesses bias in clinical trials. From PDF formatted trial report determines risks of bias for domains defined by Cochrane Risk of Bias (RoB) tool, and extracts supporting text for these judgments.
Proper citation: Robot Reviewer (RRID:SCR_018961) 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://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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