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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://bitbucket.org/nicofmay/basta-bayesian-structured-coalescent-approximation/src/master/
Software package as Bayesian method to infer migration from genetic data. Implemented in BEAST2 that combines accuracy of methods based on structured coalescent with computational efficiency required to handle more than few populations.
Proper citation: BASTA (RRID:SCR_017303) Copy
https://github.com/berenslab/EphysExtraction
Software tool as code to extract electrophysiological parameters of neurons. Code is continuously being updated to handle more kinds of voltage traces and extract different kinds of features.
Proper citation: EphysExtraction (RRID:SCR_018193) Copy
https://scienceofbehaviorchange.org/about/
Repository for behavioral science measures that have been validated or are in process of being validated in accordance with SOBC Experimental Medicine Approach.
Proper citation: Science of Behavior Change Research Network (RRID:SCR_017385) Copy
https://github.com/lufuhao/GeneSyntenyPipeline
Software pipeline was designed to draw gene synteny plot between genomes and obtain 1 to 1 gene pairs from each genome.
Proper citation: GeneSyntenyPipeline (RRID:SCR_018198) Copy
http://brainarray.mbni.med.umich.edu/Brainarray/Database/CustomCDF/genomic_curated_CDF.asp
Brainarray custom CDFs for processing raw Affymetrix data. Used to map probe to probesets. Oligonucleotide probes on GeneChips are reorganized based on latest genome and transcriptome information.
Proper citation: CustomCDF (RRID:SCR_018527) Copy
Open source software Python package for working with hierarchical data. Provides APIs for specifying data models, reading and writing data to different storage backends, and representing data with Python object.Used for working with standardizing, reading, and writing hierarchical object data.
Proper citation: Hierarchical Data Modeling Framework (RRID:SCR_021303) Copy
http://www.duke.edu/web/gpcr-assay/index.html
Describes data from and access to permanent cell lines containing beta-arrestin fluorescent protein biosensors. This assay Bank provides plasmids, cells lines, and resulting data to the NIDA/NIH funded research community in order to better understand and combat addiction.
Proper citation: Addiction Research GPCR Assay Bank (RRID:SCR_002895) Copy
http://sleep.alleninstitute.org
Collection of gene expression data in mouse brain for five different conditions of sleep and wakefulness to understand sleep deprivation and dynamic changes underlying sleep and wake cycles. Platform to generate cellular resolution expression data.
Proper citation: Allen Institute for Brain Science Sleep Study (RRID:SCR_002983) Copy
http://www.nih.gov/science/brain/
Project aimed at revolutionizing understanding of human brain, to show how individual cells and complex neural circuits interact, enable rapid progress in development of new technologies and data analysis tools to treat and prevent brain disorders. BRAIN Initiative encourages collaborations between neurobiologists and scientists from disciplines such as statistics, physics, mathematics, engineering, and computer and information sciences. Institutes and centers contributing to NIH BRAIN Initiative support those research efforts.
Proper citation: BRAIN Initiative (RRID:SCR_006770) 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://www.rand.org/labor/FLS/MHSS.html
A data set of the health and socioeconomic factors that affect the elderly in Matlab, a region of rural Bangladesh. The survey captures measurements and statistics such as adult survival, health status, health care utilization, resource flows between generations and the impact of community services and infrastructure on adult health care. Data was collected through surveys that touch on four topics: household and individual information; determinants of natural fertility; migration out of the community; and community and provider survey of healthcare and education infrastructure.
Proper citation: Matlab Health and Socio-Economic Survey (RRID:SCR_008942) Copy
http://harvard.eagle-i.net/i/0000012a-2518-fb6c-5617-794280000000
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 27, 2023. Core provides services: RT PCR service, Gene expression profiling service, Proteomics analysis service, Bioinformatics and Systems Biology analyses, Next Generation Sequencing Service, Affymetrix Human and Mouse Gene 2.0 ST Arrays and 2.1 ST Arrayplates. Core proteomics facility for the Dana-Farber/Harvard Cancer Center. Workflows and algorithms for analysis of next-generation sequencing data including RNA-Seq, ChIP-Seq, Epigenetics-Seq and DNA seq, Comprehensive workflow for analysis of Microbiome sequencing data, Integrated systems biology analysis of transcriptome, miRNA, epigenome, metabolomics and proteomics data. Pipelines: MALDI Tissue imaging and targeted quantitative proteomics.
Proper citation: Beth Israel Deaconess Medical Center Genomics Proteomics Bioinformatics and Systems Biology Center (RRID:SCR_009668) Copy
http://montana.eagle-i.net/i/0000012b-00be-4e65-df3b-3fdc80000000
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 27, 2023. Core for Microarray analysis, Database development, Systems biology analysis, Genome assembly, Pathway data analysis, Expression data analysis, Metagenomics analysis. To maintain equipment and software for bioinformatic research, promote bioinformatics education on the MSU campus, and provide training and support to biologists implementing bioinformatics tools in their research.
Proper citation: Montana State University Bioinformatics Core Facility (RRID:SCR_009937) Copy
https://www.ncbi.nlm.nih.gov/geo/
Functional genomics data repository supporting MIAME-compliant data submissions. Includes microarray-based experiments measuring the abundance of mRNA, genomic DNA, and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. Array- and sequence-based data are accepted. Collection of curated gene expression DataSets, as well as original Series and Platform records. The database can be searched using keywords, organism, DataSet type and authors. DataSet records contain additional resources including cluster tools and differential expression queries.
Proper citation: Gene Expression Omnibus (GEO) (RRID:SCR_005012) Copy
Issue
Software package for analysis of brain imaging data sequences. Sequences can be a series of images from different cohorts, or time-series from same subject. Current release is designed for analysis of fMRI, PET, SPECT, EEG and MEG.
Proper citation: SPM (RRID:SCR_007037) Copy
Seattle based independent, nonprofit medical research organization dedicated to accelerating the understanding of how human brain works. Provides free data and tools to researchers and educators and variety of unique online public resources for exploring the nervous system. Integrates gene expression data and neuroanatomy, along with data search and viewing tools, these resources are openly accessible via the Allen Brain Atlas data portal. Provides Allen Mouse Brain, Allen Spinal Cord Atlas, Allen Developing Mouse Brain Atlas, Allen Human Brain Atlas,Allen Mouse Brain Connectivity Atlas, Allen Cell Type Database, The Ivy Glioblastoma Atlas Project (Ivy GAP), The BrainSpan Atlas of the Developing Human Brain.
Proper citation: Allen Institute for Brain Science (RRID:SCR_006491) Copy
A protein mass spectrometry service provider that delivers data to industrial and government organizations as well as academic institutions. Protein services include protein identification, mapping, profiling, and mass measurement. Post-translational modification services include PTM profiling, phospho-screening, and glyco-screening. Quantitative proteomics services include workflows for label free, TMT, SILAC, and PRM. MS Bioworks also provides immunoprecipitated protein analysis and custom analysis.
Proper citation: MS Bioworks (RRID:SCR_001043) Copy
http://www.worm.mpi-cbg.de/phenobank/cgi-bin/ProjectInfoPage.py
A database that provides primary data from two high-content screens that profile the set of ~900 essential C. elegans genes (~5% of the genome) required for embryo production and/or events during the first two embryonic divisions. Phenobank houses the movies, scored defects, and phenotypic classification data for the embryo-filming and gonad morphology screens.
Proper citation: PhenoBank (RRID:SCR_000930) Copy
https://github.com/pachterlab/kb_python
Software Python package that wraps kallisto and bustools single-cell RNA-seq workflow. Used for single-cell RNA-seq pre-processing. Simplifies downloading and running of kallisto and bustools programs. Consists of kb ref and kb count commands. kb ref builds or downloads species specific index for pseudo alignment of reads and must be run prior to kb count and it runs kallisto index. kb count runs kallisto and bustools programs and is used for pre-processing of data from variety of single-cell RNA-seq technologies, and for number of different workflows (e.g. production of gene count matrices, RNA velocity analyses, etc.).
Proper citation: kb_python (RRID:SCR_018213) 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
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