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https://www.mousephenotype.org/imits/
This resource has been replaced by GenTaR. Software tool for the planning of all IMPC mouse production. Allows IMPC production centers to record the progress of mouse production, cre-excision and to summarise the progress of phenotype data collection and transfer to the IMPC DCC. Stores all the mutation molecular structures made for the IKMC, catalogs of all IKMC products.
Proper citation: iMITS (RRID:SCR_016552) Copy
https://emcore.ucsf.edu/cryoem-software
Software tool for anisotropic correction of beam-induced motion for improved cryo-electron microscopy. Used to describe the sample motion as a local deformation that varies smoothly throughout the exposure. A program running on Linux.
Proper citation: MotionCor2 (RRID:SCR_016499) Copy
https://cm.jefferson.edu/rna22/
Software tool as a pattern based algorithm for detecting microRNA binding sites and their corresponding microRNA and mRNA complexes. Allows interactive exploration and visualization of miRNA target predictions. Permits link-out to external expression repositories and databases.
Proper citation: RNA22 (RRID:SCR_016507) Copy
https://www.ncbi.nlm.nih.gov/projects/mutagene/
Software tool to explore and analyze mutagenic factors leading to tumors to decipher cancer genetic heterogeneity.
Proper citation: MutaGene (RRID:SCR_016574) Copy
https://tbportals.niaid.nih.gov
Web based open access platform for global drug resistant tuberculosis data sharing and analysis. The NIAID TB Portals program and consortium of clinicians and scientists from countries with a heavy burden of TB, especially drug resistant TB, to collect TB data.
Proper citation: TB PORTALS (RRID:SCR_016594) Copy
Platform to facilitate prediction, analysis, and hypothesis generation from genome wide perturbation studies like those designed with RNAi and CRISPR technologies.
Proper citation: TRIAGE (RRID:SCR_016609) Copy
http://cerebrovascularportal.org
Portal enables browsing, searching, and analysis of human genetic information linked to cerebrovascular disease and related traits, while protecting the integrity and confidentiality of the underlying data.
Proper citation: Cerebrovascular Disease Knowledge Portal (RRID:SCR_015628) Copy
http://www.alliancegenome.org/
Organization that aims to develop and maintain sustainable genome information resources to promote understanding of the genetic and genomic basis of human biology, health, and disease. The Alliance is composed of FlyBase, Mouse Genome Database (MGD), the Gene Ontology Consortium (GOC), Saccharomyces Genome Database (SGD), Rat Genome Database (RGD), WormBase, and the Zebrafish Information Network (ZFIN).
Proper citation: Alliance of Genome Resources (RRID:SCR_015850) Copy
https://github.com/KravitzLab/fed/wiki
Flexible open-source device for measuring feeding behavior. FED measures food intake in mice. It is battery powered and designed to be used in rodent colony caging.Home cage-compatible feeding system that measures food intake with high accuracy and temporal resolution. FED offers alternative to commercial feeders, with convenience of use in tradition colony rack caging.
Proper citation: Feeding Experimentation Device project (RRID:SCR_015942) Copy
http://www.nitrc.org/projects/gscca_2013/
Group Sparse Canonical Correlation Analysis is a method designed to study the mutual relationship between two different types of data.
Proper citation: Group Sparse Canonical Correlation Analysis (RRID:SCR_014977) Copy
https://github.com/marbl/MashMap
Software tool as fast approximate aligner for long DNA sequences. Used for computing local alignment boundaries between long DNA sequences.
Proper citation: MashMap (RRID:SCR_022194) Copy
https://mass-spec.stanford.edu/instruments
System includes Thermo Orbitrap Eclipse Tribid mass spectrometer and Waters M-Class Acquity nanoUPLC. This platform features sequential acquisition capabilities and multiple fragmentation types, enabling complex, in depth proteomic experiments.
Proper citation: Thermo Fisher: Orbitrap Eclipse nanoLC/MS system (RRID:SCR_022212) Copy
https://www.synapse.org/#!Synapse:syn22345748/wiki/605339
Reference dataset of multiplexed immunofluorescence microscopy images collected at HMS Laboratory of Systems Pharmacology. Includes set of images of different types for development and benchmarking of computational methods for image processing. As of 4/2/2021, EMIT comprises tissue microarray containing cores from 34 cancer, non-neoplastic diseases, and normal tissue collected from clinical discards under IRB supervised protocol. TMA was imaged using cyclic immunofluorescence method. Additional extensions of EMIT are currently in the planning stages. Long term goal is to compose ImageNet like resource for highly multiplexed images of tissues and tumors by consolidating high quality curated datasets.
Proper citation: Exemplar Microscopy Images of Tissues (RRID:SCR_021052) Copy
https://nwb-extensions.github.io/
Community led catalog of extensions to Neurodata Without Borders data standard.
Proper citation: Neurodata Extensions Catalog (RRID:SCR_021340) Copy
http://www.essentialtremor.us/
Finding a cure for any neurological disorder begins with the scientific study of the disorder''s causes, processes, and development in the brain. For essential tremor (ET), rigorous study of this kind had not been undertaken until 2003, when the Essential Tremor Centralized Brain Repository (ETCBR) was established at Columbia University. For the past five years, brain tissue from ET donors has been collected, processed and compared alongside age-matched control brains at the ETCBR, and already several significant findings have been made. However, there is still much to learn and a severe shortage of ET brains for scientific study. If you have been diagnosed with essential tremor, donating your brain tissue in the hours immediately after your death is of utmost importance in providing crucial information about what causes ET. Direct analysis of the shape and number of nerve cells and their content will provide medical researchers with the information they need in order to understand this complex illness. By advancing our medical knowledge of ET, the gift of brain tissue is a central piece of the puzzle in the search to develop better treatments and find a cure.
Proper citation: Essential Tremor Centralized Brain Repository (RRID:SCR_004464) Copy
The National Alliance for Medical Image Computing (NA-MIC) is a multi-institutional, interdisciplinary team of computer scientists, software engineers, and medical investigators who develop computational tools for the analysis and visualization of medical image data. The purpose of the Center is to provide the infrastructure and environment for the development of computational algorithms and open-source technologies, and then oversee the training and dissemination of these tools to the medical research community. Electronic resources provided by NA-MIC include software, data, tutorials, presentations, and more.
Proper citation: National Alliance for Medical Image Computing (RRID:SCR_004460) Copy
http://www.ncbi.nlm.nih.gov/biosystems/
Database that provides access to biological systems and their component genes, proteins, and small molecules, as well as literature describing those biosystems and other related data throughout Entrez. A biosystem, or biological system, is a group of molecules that interact directly or indirectly, where the grouping is relevant to the characterization of living matter. BioSystem records list and categorize components, such as the genes, proteins, and small molecules involved in a biological system. The companion FLink tool, in turn, allows you to input a list of proteins, genes, or small molecules and retrieve a ranked list of biosystems. A number of databases provide diagrams showing the components and products of biological pathways along with corresponding annotations and links to literature. This database was developed as a complementary project to (1) serve as a centralized repository of data; (2) connect the biosystem records with associated literature, molecular, and chemical data throughout the Entrez system; and (3) facilitate computation on biosystems data. The NCBI BioSystems Database currently contains records from several source databases: KEGG, BioCyc (including its Tier 1 EcoCyc and MetaCyc databases, and its Tier 2 databases), Reactome, the National Cancer Institute's Pathway Interaction Database, WikiPathways, and Gene Ontology (GO). It includes several types of records such as pathways, structural complexes, and functional sets, and is desiged to accomodate other record types, such as diseases, as data become available. Through these collaborations, the BioSystems database facilitates access to, and provides the ability to compute on, a wide range of biosystems data. If you are interested in depositing data into the BioSystems database, please contact them.
Proper citation: NCBI BioSystems Database (RRID:SCR_004690) Copy
Non-profit academic organization for research and services in bioinformatics. Provides freely available data from life science experiments, performs basic research in computational biology, and offers user training programme, manages databases of biological data including nucleic acid, protein sequences, and macromolecular structures. Part of EMBL.
Proper citation: European Bioinformatics Institute (RRID:SCR_004727) Copy
Common repository for diverse human microbiome datsets and minimum reporting standards for Common Fund Human Microbiome Project.
Proper citation: HMP Data Analysis and Coordination Center (RRID:SCR_004919) Copy
http://www.proconsortium.org/pro/
An ontological representation of protein-related entities by explicitly defining them and showing the relationships between them. Each PRO term represents a distinct class of entities (including specific modified forms, orthologous isoforms, and protein complexes) ranging from the taxon-neutral to the taxon-specific. The ontology has a meta-structure encompassing three areas: proteins based on evolutionary relatedness (ProEvo); protein forms produced from a given gene locus (ProForm); and protein-containing complexes (ProComp). NOTICE: The PRO ID format has changed from PRO: to PR: (e.g. PRO:000000563 is now PR:000000563).
Proper citation: PR (RRID:SCR_004964) Copy
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