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https://omictools.com/context-likelihood-of-relatedness-tool

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A software that infers regulatory interactions between transcription factors and their targets using a compendium of gene expression profiles.

Proper citation: Context Likelihood of Relatedness (RRID:SCR_000216) Copy   

•   Source: SciCrunch Registry
  

http://www.csir.co.za/

A leading scientific and technology research, development and implementation organization in Africa that undertakes directed research and development for socio-economic growth and improving the quality of life of South African citizens.

Proper citation: Council for Scientific and Industrial Research; Gauteng; South Africa (RRID:SCR_000214) Copy   

•   Source: SciCrunch Registry
  

http://www.cdisc.org/

A global, open, multidisciplinary, non-profit organization that has established standards to support the acquisition, exchange, submission and archive of clinical research data and metadata. Its mission is to develop and support global, platform-independent data standards that enable information system interoperability to improve medical research and related areas of healthcare. CDISC standards are vendor-neutral, platform-independent and freely available via the CDISC website.

Proper citation: Clinical Data Interchange Standards Consortium (RRID:SCR_000219) Copy   

•   Source: SciCrunch Registry
  

https://github.com/vahuynh/dynGENIE3

An algorithm for the inference of gene regulatory networks from expression data.

Proper citation: GENIE3 (RRID:SCR_000217) Copy   

•   Source: SciCrunch Registry
  

http://bonneaulab.bio.nyu.edu/networks.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Algorithm for learning parsimonious regulatory networks from systems biology data sets de novo. Software that utilizes inference algorithm to model genetic regulatory networks.Inferelator 2.0 is scalable framework for reconstruction of dynamic regulatory network models., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Inferelator (RRID:SCR_000218) Copy   

•   Source: SciCrunch Registry
  

http://cran.r-project.org/web/packages/c3net/index.html

Software package that allows inferring gene regulatory networks with direct physical interactions from microarray expression data using C3NET.

Proper citation: c3net (RRID:SCR_000212) Copy   

•   Source: SciCrunch Registry
  

http://knightadrc.wustl.edu/

The Charles F. and Joanne Knight Alzheimer Disease Research Center (Knight ADRC) supports researchers and our surrounding community in their pursuit of answers that will lead to improved diagnosis and care for persons with Alzheimer disease (AD). The Center is committed to the long-term goal of finding a way to effectively treat and prevent AD. The Knight ADRC facilitates advanced research on the clinical, genetic, neuropathological, neuroanatomical, biomedical, psychosocial, and neuropsychological aspects of Alzheimer disease, as well as other related brain disorders.

Proper citation: Washington University School of Medicine Knight Alzheimers Disease Research Center (RRID:SCR_000210) Copy   

•   Source: SciCrunch Registry
  

http://fiduswriter.org/

An online collaborative editor for academics that use citations and/or formulas. The editor focuses on the content rather than the layout, so that with the same text, it can be published in multiple ways: On a website, as a printed book, or as an ebook.

Proper citation: Fiduswriter (RRID:SCR_000204) Copy   

•   Source: SciCrunch Registry
  

http://www.uniklinikum-saarland.de/einrichtungen/fachrichtungen/humangenetik/software/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A software tool for predicting granzyme B and caspase cleavage sites.

Proper citation: GraBCas (RRID:SCR_000205) Copy   

•   Source: SciCrunch Registry
  

http://ccd.biocuckoo.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A software package for the prediction of calpain cleavage sites.

Proper citation: GPS-Calpain Cleavage Detector (RRID:SCR_000202) Copy   

•   Source: SciCrunch Registry
  

https://www.qcif.edu.au/

Provides digital infrastructure capabilities for research and innovation across Queensland and Australia. Provides services, infrastructure and support for computation and data driven collaborative research and its application in industry. Members are six Queensland universities – The University of Queensland, Queensland University of Technology, Griffith University, James Cook University, CQUniversity, and the University of Southern Queensland. The University of the Sunshine Coast is an associate member. Member employees provide support and development services.

Proper citation: Queensland Cyber Infrastructure Foundation Ltd (RRID:SCR_000208) Copy   

•   Source: SciCrunch Registry
  

http://www.themmrf.org/

Research foundation that funds research to develop new treatments for multiple myeloma, an incurable blood cancer.

Proper citation: Multiple Myeloma Research Foundation (RRID:SCR_000207) Copy   

•   Source: SciCrunch Registry
  

http://www.nitrc.org/projects/ontologyviz/

Software that allows user to do faceted search on an ontology and enables visualization of the search results on the 3D digital atlas. Currently supports faceted search of functional neuroanatomy.

Proper citation: Faceted Search Based Ontology Visualizer (RRID:SCR_000124) Copy   

•   Source: SciCrunch Registry
  

http://www.computationalbioenergy.org/parallel-meta.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 30,2023. Open source pipeline for metagenomic data analysis, which enables efficient and parallel analysis of multiple metagenomic datasets and visualization of results for multiple samples. Can perform rapid data mining among microbial community data for comparative taxonomic and functional analysis.

Proper citation: Parallel-META (RRID:SCR_000121) Copy   

•   Source: SciCrunch Registry
  

http://deweylab.biostat.wisc.edu/psginfer/

Software for inference of alternative splicing from RNA-Seq data with probabilistic splice graphs.

Proper citation: PSGInfer (RRID:SCR_000243) Copy   

•   Source: SciCrunch Registry
  

http://biolemmatizer.sourceforge.net/

A domain-specific lemmatization software tool for the morphological analysis of biomedical literature.

Proper citation: BioLemmatizer (RRID:SCR_000117) Copy   

•   Source: SciCrunch Registry
  

http://orphelia.gobics.de/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 23,2022. A metagenomic open reading frame (ORF) finding tool for the prediction of protein coding genes in short, environmental DNA sequences with unknown phylogenetic origin. The resource is based on a two-stage machine learning approach that uses linear discriminants to extract features from the ORFs. An artificial neural network then combines the features and computes a gene probability for each ORF fragment.

Proper citation: Orphelia (RRID:SCR_000119) Copy   

•   Source: SciCrunch Registry
  

https://sites.google.com/

A free online service to easily create and share webpages.

Proper citation: Google Sites (RRID:SCR_000112) Copy   

•   Source: SciCrunch Registry
  

http://www.aetionomy.eu/

Consortium founded to establish mechanism-based taxonomies for Alzheimer's and Parkinson's disease and other neurodegenerative disorders (NDD), with the goal of facilitating development of more effective and targeted treatments. To do this, the consortium collects and analyzes data to: * Create new ways to combine underutilized data currently available in the literature, public databases, and from private companies * Determine how to dynamically organize and structure different types of knowledge about NDD * Determine how to apply this knowledge to construct new patient group classification * Identify correlations between disease features at molecular, tissue or organ-specific, and clinical levels * Identify sub-groups of patients based on the molecular cause of their disease, as opposed to the nature and location of their symptoms * Deliver data, tools, and recommendations for the biomedical community in the treatment of NDD A mechanism-based taxonomy is hoped to advance the: # Description and organization of the indication-specific data # Linking of data to disease models, based on causal and correlative relationships The expected outcome of AETIONOMY is a new NDD taxonomy system that distinguishes mixed pathologies, allowing for new features or classes to be added into the taxonomy, all with the goal of aiding drug and biomarker discovery.

Proper citation: AETIONOMY (RRID:SCR_000232) Copy   

•   Source: SciCrunch Registry
  

http://www.cogsci.ucsd.edu/media/uploads/grad/grad_fellowship_info.pdf

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. This resource is a frequently updated listing of graduate student in cognitive science fellowship opportunities. For current opportunities, please see the PDF document.

Proper citation: University of California at San Diego Cognitive Science Graduate Student Fellowship Opportunities (RRID:SCR_000105) Copy   

•   Source: SciCrunch Registry