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http://www.biobase-international.com

THIS RESOURCE IS OUT OF SERVICE, documented on February 1st,2022. BIOBASE offers academic and non-profit organizations free access to TRANSFAC?? non-professional version with much reduced functionality and content compared to our professional database.

Proper citation: BIOBASE Corporation (RRID:SCR_010271) Copy   

•   Source: SciCrunch Registry
  

http://purl.bioontology.org/ontology/BNO

Ontology that relates concepts and terminologies used for human nutrition in a clinical and biomedical setting.

Proper citation: Bionutrition Ontology (RRID:SCR_010272) Copy   

•   Source: SciCrunch Registry
  

http://purl.bioontology.org/ontology/ONTODM-CORE

Generic ontology for the domain of data mining that includes the information processing processes that occur in the domain of data mining, participants in the processes and their specifications. OntoDM is highly transferable and extendable due to its adherence to accepted standards, and compliance with existing ontology resources. The generality in scope allows wide number of applications of the ontology, such as semantic annotation of data mining scenarios, ontology based support for QSARs, etc.

Proper citation: Ontology of Core Data Mining Entities (RRID:SCR_010393) Copy   

•   Source: SciCrunch Registry
  

http://purl.bioontology.org/ontology/PEDTERM

Terms associated with pediatrics, representing information related to child health and development from pre-birth through 21 years of age; contributed by the National Institute of Child Health and Human Development.

Proper citation: Pediatric Terminology (RRID:SCR_010395) Copy   

•   Source: SciCrunch Registry
  

http://purl.bioontology.org/ontology/OOEVV

Ontology that provides a lightweight representation of the variables used to measure experimental properties and the measurement scales that form the complex data types supporting that data. Many different variables measure the same thing, here they use a lightweight representation driven by a small number of classes and a large number of variables to focus only on providing a vocabulary of variables that may be extended for consolidation to standardized variables for specific things and functions to map between values from different measurements scales. They use the base ontology description to provide a very lightweight representation of the basic elements of an experimental design and they use views to instantiate it for specific domains.

Proper citation: Ontology of Experimental Variables and Values (RRID:SCR_010396) Copy   

•   Source: SciCrunch Registry
  

http://toolkit.tuebingen.mpg.de/hhpred

The primary aim in developing HHpred was to provide biologists with a method for sequence database searching and structure prediction that is as easy to use as BLAST or PSI-BLAST and that is at the same time much more sensitive in finding remote homologs. In fact, HHpred''s sensitivity is competitive with the most powerful servers for structure prediction currently available. HHpred is the first server that is based on the pairwise comparison of profile hidden Markov models (HMMs). Whereas most conventional sequence search methods search sequence databases such as UniProt or the NR, HHpred searches alignment databases, like Pfam or SMART. This greatly simplifies the list of hits to a number of sequence families instead of a clutter of single sequences. All major publicly available profile and alignment databases are available through HHpred.

Proper citation: HHpred (RRID:SCR_010276) Copy   

•   Source: SciCrunch Registry
  

http://purl.bioontology.org/ontology/ONTODT

Ontology that contains entities such as: datatype, datatype generator, datatype quality and others giving the possibility to represent arbitrary complex datatypes. This is an important fact for a general data mining ontology that wants to represent and query over modelling algorithms for mining structured data. The ontology was first developed under the OntoDM (Ontology of Data Mining, http://kt.ijs.si/panovp/OntoDM) ontology, but for generality and reuse purpose it was decided to export it as a separate ontology. Additionaly, the OntoDT ontology is based on and ISO/IEC 11404 (http://www.iso.org/iso/catalogue_detail.htm?csnumber=39479) standard and can be reused used independently by any domain ontology that requires representation and reasoning about general purpose datatypes.

Proper citation: Ontology of General Purpose Datatypes (RRID:SCR_010397) Copy   

•   Source: SciCrunch Registry
  

http://purl.bioontology.org/ontology/ONTOMA

Ontology for common concepts for communication between traditional medicine and western medicine. (In French)

Proper citation: Ontology of Alternative Medicine French (RRID:SCR_010390) Copy   

•   Source: SciCrunch Registry
  

http://www.dol.gov/

Fosters, promotes, and develops the welfare of the wage earners, job seekers, and retirees of the United States; improves working conditions; advances opportunities for profitable employment; and assures work-related benefits and rights.

Proper citation: U.S. Department of Labor (RRID:SCR_010157) Copy   

•   Source: SciCrunch Registry
  

http://purl.bioontology.org/ontology/OGMD

Ontology including the disease names, phenotypes and their classifications involved in Glucose Metabolism Disorder, Diabetes. (OBO and OWL format are available in sourceforge.)

Proper citation: Ontology of Glucose Metabolism Disorder (RRID:SCR_010399) Copy   

•   Source: SciCrunch Registry
  

http://purl.bioontology.org/ontology/BT

A top-domain ontology that provides definitions for the foundational entities of biomedicine as a basic vocabulary to unambiguously describe facts in this domain. It can furthermore serve as top-level model for creating new ontologies for more specific domains or as aid for aligning or improving existing ones.

Proper citation: BioTop Ontology (RRID:SCR_010039) Copy   

•   Source: SciCrunch Registry
  

http://purl.bioontology.org/ontology/HOM

Ontology that represents concepts related to homology, as well as other concepts used to describe similarity and non-homology.

Proper citation: Ontology of Homology and Related Concepts in Biology (RRID:SCR_010400) Copy   

•   Source: SciCrunch Registry
  

http://purl.bioontology.org/ontology/LDA

Ontology of language terms used in the domain of autism available for consultation and sharing. The language terms were obtained via text mining and automatic retrieval of terms from the corpus of PubMed abstracts.

Proper citation: Ontology of Language Disorder in Autism (RRID:SCR_010401) Copy   

•   Source: SciCrunch Registry
  

http://purl.bioontology.org/ontology/PDO

An ontology for describing both human infectious disease caused by bacteria and the disease that is related to bacterial infection.

Proper citation: Pathogenic Disease Ontology (RRID:SCR_010405) Copy   

•   Source: SciCrunch Registry
  

http://purl.bioontology.org/ontology/PSIMOD

Ontology consisting of terms that describe protein chemical modifications, logically linked by an is_a relationship in such a way as to form a direct acyclic graph (DAG). The PSI-MOD ontology has more than 45 top-level nodes, and provides alternative hierarchical paths for classifying protein modifications either by the molecular structure of the modification, or by the amino acid residue that is modified.

Proper citation: Protein Modification Ontology (RRID:SCR_010412) Copy   

•   Source: SciCrunch Registry
  

http://purl.bioontology.org/ontology/QUDT

Collection of ontologies that define the base classes properties, and restrictions used for modeling physical quantities, units of measure, and their dimensions in various measurement systems. The goal of the QUDT ontology is to provide a unified model of, measurable quantities, units for measuring different kinds of quantities, the numerical values of quantities in different units of measure and the data structures and data types used to store and manipulate these objects in software. This OWL schema is a foundation for a basic treatment of units.

Proper citation: QUDT (RRID:SCR_010416) Copy   

•   Source: SciCrunch Registry
  

http://purl.bioontology.org/ontology/ROLEO

Ontology in the domain of role classification that aims to standardize role classification and support computer-assisted reasoning. RoleO is a community-based ontology, and its development follows the OBO Foundry principles.

Proper citation: Role Ontology (RRID:SCR_010420) Copy   

•   Source: SciCrunch Registry
  

http://www.kti.admin.ch/index.html?lang=en

Proper citation: Swiss Commission for Technology and Innovation (RRID:SCR_010084) Copy   

•   Source: SciCrunch Registry
  

http://htsvipr.sourceforge.net/

A software program to screen for sequence variants (SNPs, deletions) in sequence data generated by high-throughput-sequencing platforms.

Proper citation: vipR (RRID:SCR_010685) Copy   

•   Source: SciCrunch Registry
  

http://www.genome.umd.edu/masurca.html

A whole genome assembly software that combines the efficiency of the de Bruijn graph and Overlap-Layout-Consensus (OLC) approaches., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: MaSuRCA (RRID:SCR_010691) Copy   

•   Source: SciCrunch Registry