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https://www.genome.jp/kegg/pathway.html

Reference database for pathway mapping in KEGG Mapper. Collection of manually drawn pathway maps representing knowledge on molecular interaction, reaction and relation networks for metabolism, genetic information processing, environmental information processing, cellular processes, organisms systems, human diseases, drug development.

Proper citation: KEGG PATHWAY Database (RRID:SCR_018145) Copy   

•   Source: SciCrunch Registry

https://www.cellphonedb.org/

Collection of publicly available data of curated receptors, ligands and their interactions. Integrates existing datasets that pertain to cellular communication and new manually reviewed information. Used to search for particular ligand or receptor or to interrogate single cell transcriptomics data.

Proper citation: CellPhoneDB (RRID:SCR_017054) Copy   

•   Source: SciCrunch Registry

https://dhs.ccm.sickkids.ca/

Collection of open chromatin regions from sequencing data. Metadata as entire curated DNase-I hypersensitive sites (DHS) on the whole genome datasets and data specific to each chromosome.

Proper citation: Database of Open Chromatin Regions (RRID:SCR_016614) Copy   

•   Source: SciCrunch Registry

http://omicslab.genetics.ac.cn/dred/index.php

Database of genes related to Repeat Expansion Diseases, as comprehensive manually curated database that covers all reported repeat expansion diseases included in PubMed and OMIM. Detailed information about each repeat and its related genes/diseases can be found in database, links to OMIM, NCBI and Ensembl are also provided. Provides list of predicted genes containing unstable tandem repeats that may cause diseases via abnormal repeat expansion by support vector machine and random forest.

Proper citation: Database of genes related to Repeat Expansion Diseases (RRID:SCR_018086) Copy   

•   Source: SciCrunch Registry

http://www.mqtldb.org/

Data collection of large scale genome wide DNA methylation analysis of 1,000 mother-child pairs at serial time points across life course (ARIES).

Proper citation: mqtldb (RRID:SCR_018002) Copy   

•   Source: SciCrunch Registry

https://www.postgresql.org/

Open source object relational database system that uses and extends SQL language combined with many features that safely store and scale the most complicated data workloads. PostgreSQL runs on all major operating systems.

Proper citation: PostgreSQL (RRID:SCR_021067) Copy   

•   Source: SciCrunch Registry

https://www.scopus.com/

Abstract and indexing database with full text links that is produced by Elsevier Co. Combines expertly curated abstract and citation database with enriched data and linked scholarly literature across wide variety of disciplines.

Proper citation: Scopus (RRID:SCR_022559) Copy   

•   Source: SciCrunch Registry

https://github.com/clinwiki-org/clinwiki

Clinical trials database.

Proper citation: ClinWiki (RRID:SCR_021297) Copy   

•   Source: SciCrunch Registry

https://trinetx.com/

Network of healthcare organizations, together with data partners in Brazil, South Korea, and Japan, to bring clinical facts on more than 250 million patients around the world. Federated model so users of this data are ensured new patients, observations, and results every day, all harmonized to standard terminology like ICD-10 and LOINC without any data wrangling required at the point of care. The raw data is not available to authors of papers and papers in medicine are being retracted.

Proper citation: trinetx (RRID:SCR_022760) Copy   

•   Source: SciCrunch Registry

http://www.clcbio.com/products/clc-main-workbench/

A suite of software for DNA, RNA and protein sequence data analysis. The software allows for the analysis and visualization of Sanger sequencing data as well as gene expression analysis, molecular cloning, primer design, phylogenetic analyses, and sequence data management.

Proper citation: CLC Main Workbench (RRID:SCR_000354) Copy   

•   Source: SciCrunch Registry

http://www.cs.cmu.edu/~schneide/tut5/node42.html

A model evaluation method for training someone to read data. There are three methods: the holdout method, K-fold cross validation, and leave-one-out cross validation.

Proper citation: Cross Validation (RRID:SCR_000702) Copy   

•   Source: SciCrunch Registry

https://core.bioinformatics.udel.edu

CBCB Bioinformatics Data Science Core builds upon infrastructure of the Center for Bioinformatics and Computational Biology. Delaware Biotechnology Institute , Delaware Data Science Institute, and Protein Information Resource. Core helps with planning your research or analyzing your current data. Services:Consultation and Collaboration, Proposal Assistance,Training, Bioinformatics Software, Computational Hardware, Database and Web Services, Next Gen Analysis, Custom Analysis.

Proper citation: University of Delaware CBCB Bioinformatics Data Science Core Facility (RRID:SCR_017696) Copy   

•   Source: SciCrunch Registry

https://www.albany.edu/repr/

Resource offers range of mass spectrometry instrumentation, expertise in analysis of RNA, RNA modifications, and proteins involved in RNA metabolism/regulation, supports projects involving analysis of biomolecules, metabolites, and small synthetic molecules, provides consulting on experimental design, sample preparation and data interpretation, whole project development and grant writing contributions.

Proper citation: Albany University RNA Epitranscriptomics and Proteomics Resource Core Facility (RRID:SCR_017695) Copy   

•   Source: SciCrunch Registry

https://crc.ibest.uidaho.edu/

Provides evolutionary and computational biology investigators with computing and large data storage capacity for use in analyzing and managing large volumes of research data. Core contains advanced mix of high performance computing clusters, servers and data storage components, knowledge and technical skills required to compress years of analysis into days.

Proper citation: Idaho University IBEST Computational Resources Core Facility (RRID:SCR_017734) Copy   

•   Source: SciCrunch Registry

https://sdrc.stanford.edu/sdrc-research-cores/dctc/home/

With the following services from the Diabetes Clinical and Translational Core (DCTC), members will receive training in biospecimen preservation, study design, data analysis, data management, use of statistical software and clinical trial conduct.

Proper citation: Stanford Diabetes Research Center Diabetes Clinical and Translational Core (RRID:SCR_016212) Copy   

•   Source: SciCrunch Registry

https://sdrc.stanford.edu/sdrc-research-cores/dimc/home/

Core facility that provides immune monitoring assays at the RNA, protein, and cellular level, as well as archiving, reporting, and data mining support for clinical and translational studies related to Diabetes. The DIMC is a specialized subcore of the Human Immune Monitoring Center (HIMC) at Stanford.

Proper citation: Stanford Diabetes Research Center Diabetes Immune Monitoring Core (RRID:SCR_016210) Copy   

•   Source: SciCrunch Registry

https://voices.uchicago.edu/ucflow/

Core offers services in cytometry and antibody technology, helps to design projects, data acquisition, analysis and/or interpretation beyond routine practices,critical drafting and/or revision of manuscript for intellectual content purposes.

Proper citation: Chicago University Cytometry and Antibody Technology Core Facility (RRID:SCR_017760) Copy   

•   Source: SciCrunch Registry

http://cmac.concordia.ca/

Services include advise on microscope to use for research project, image acquisition, optimization image analysis and sample preparation, free of charge access to 500GB per laboratory on CMCI server in order to store data for project. Facility houses four wide-field, near-field (TIRF), three confocal (swept-field and laser-scanning) microscopes and laser capture microdissection system.

Proper citation: Concordia University Center for Microscopy and Cellular Imaging Core Facility (RRID:SCR_017804) Copy   

•   Source: SciCrunch Registry

http://mgm.ku.edu/services

Research oriented service laboratory providing informatics support to research community. Services include data analysis and mining in proteomics, genomics and chemistry, systems biology approaches such as pathway, network and interaction analyses, large scale statistical and machine learning studies, protein structure, function and stability prediction, sequence and domain analyses,d esign and implementation of relational databases and software programs, consultation on experimental design involving data acquisition, management and analysis, report, grant, and manuscript preparation.

Proper citation: Kansas University at Lawrence Applied Bioinformatics Laboratory Core Facility (RRID:SCR_017751) Copy   

•   Source: SciCrunch Registry

https://www.med.unc.edu/csb/mx/

Core provides support and infrastructure necessary to initiate and successfully complete structural biology or structural chemistry project. Offers services in Crystallization,X-Ray DiffractionData Collection,Structure Determination and Refinement.

Proper citation: North Carolina University at Chapel Hill School of Medicine Macromolecular X-Ray Crystallography Core Facility (RRID:SCR_017839) Copy   

•   Source: SciCrunch Registry