Software ontology

The Software Ontology (SWO) is a resource for describing software tools, their types, tasks, versions, provenance and associated data. It contains detailed information on licensing and formats as well as software applications themselves, mainly (but not limited) to the bioinformatics community.

  0: asymptomatic
  1
  1.6.9
  100: asymptomatic
  1: symptomatic but fully ambulatory
  2.0.0
  2: symptomatic but in bed less than 50% of the day
  3.0.1
  3.5.1
  3: symptomatic in bed more than 50% of the day but not bed ridden
  4.2.2
  40-50: symptomatic, in bed more than 50% of the day, but not bed ridden
  4: bed ridden
  6.02
  6.3.0
  60-70: symptomatic but in bed less than 50% of the day
  7.2.0
  80-90: symptomatic but fully ambulatory
  ACS
  AES Chemunex
  Adobe Acrobat 10.1
  Adobe Systems
  Advanced Instruments Inc. (AI Companies)
  Affymetrix
  Affymetrix
  Agilent
  Agilent Technologies
  Altova
  Ambion
  Antigenix
  Apache Software Foundation
  Apogee Flow Systems
  Apple Inc.
  Applied Biosystems
  Applied Biosystems
  Applied Precision Life Science
  BIO-RAD
  BLAST+ version 2.2.26
  Bahler Lab
  Beckman Coulter
  Becton Dickinson (BD Biosciences)
  Bentley Instruments
  Bio Discovery
  Bio-Rad Laboratories, Inc.
  BioGents
  Bioconductor
  Biometric Research Branch
  Bruker Corporation
  Bruker Daltonics
  COSE, France
  CRG TCoffee version 9.02.r1228
  Cambridge Bluegnome
  Canonical Ltd
  Centre for Genomic Regulation (CRG) of Barcelona
  Clontech Laboratories, Inc
  Clustal Omega version 1.1
  ClustalW version 2.1
  ClustalX version 2.1
  Compensation-ML
  Conway Institute UCD Dublin
  CytoBuoy
  Cytopeia
  Dako Cytomation
  Dana-Farber Cancer Institute and Harvard School of Public Health
  Drive5
  Dropbox
  EMBL
  EPCC
  Eclipse Foundation
  Edingburgh handedness inventory
  European Bioinformatics Institute
  European Patent Office
  Exalpha Biological
  Exbio Antibodies
  Excel 14
  FCS
  FCS Data Standard Version 3.0
  Free Software Foundation
  Fujifilm
  G1 (Fuhrman)
  G1 (WHO)
  G1: Well differentiated
  G2 (Fuhrman)
  G2 (WHO)
  G2: Moderately differentiated
  G3 (Fuhrman)
  G3 (WHO)
  G3: Poorly differentiated
  G4 (Fuhrman)
  G4 (WHO)
  G4: Undifferentiated
  GE Healthcare Life Sciences
  Gating-ML
  GenePattern CART
  GenePattern HeatMapViewer data visualization
  GenePattern HierarchicalClusteringViewer data visualization
  GenePattern LOOCV
  GenePattern PCA
  GenePattern SVM
  GenePattern hierarchical clustering
  GenePattern k-means clustering
  GenePattern k-nearest neighbors
  GenePattern module CARTXValidation
  GenePattern module HeatMapViewer
  GenePattern module HierarchicalClustering
  GenePattern module HierarchicalClusteringViewer
  GenePattern module KMeansClustering
  GenePattern module KNN
  GenePattern module KNNXValidation
  GenePattern module PCA
  GenePattern module PeakMatch
  GenePattern module SVM
  GenePattern peak matching
  Genedata
  Genicon Sciences
  Grid grinder
  Havard School of Public Health
  Helicos
  Helios Service Release 2
  High grade ovarian tumor
  IBM
  Illumina
  Illumina
  Incyte Genomics
  Institute for Genomics and Bioinformatics Graz University of Technology
  Invitrogen
  J. Craig Venter Institute
  JetBrains
  Li-Cor
  Low grade ovarian tumor
  Luminex
  MUSCLE version 3.8.31
  MWG Biotech
  Matforsk
  MathWorks
  Matlab R12
  Matlab R14
  MicroPro International
  Microsoft
  Microsoft 2002 version
  Microsoft 2003 version
  Microsoft 2007 version
  Microsoft 2010 version
  Microsoft 95 version
  Microsoft 98 version
  Microsoft XP
  Millipore
  Miltenyi Biotec
  Molecular Devices
  Molecular Dynamics
  Molecular Neuroscience Core, Center for Behavioral Neuroscience, Atlanta
  Motorola Life Sciences
  Mozilla Foundation
  NIH
  NanoString Technologies
  National Cancer Institute
  Nimblegen
  OBI_0000245_1
  OMII-UK
  OWL
  Occult Carcinoma (AJCC 7th)
  Omni
  Oxford Nanopore Technologies
  PLT Scheme Inc
  Pacific Biosciences
  Partec
  PerkinElmer
  Python version 2.6
  Python version 2.7
  R2011a
  RDF
  Raytest
  Research Genetics
  Roche
  Rosetta Biosoftware
  SAS Institute Inc.
  Segway version 1.2
  Speed Berkeley Research Group
  Spotify Ltd.
  Stage 0 (AJCC 7th)
  Stage 1 (FIGO)
  Stage 1A (FIGO)
  Stage 1B (FIGO)
  Stage 1C (FIGO)
  Stage 2 (FIGO)
  Stage 2A (FIGO)
  Stage 2B (FIGO)
  Stage 2C (FIGO)
  Stage 3 (FIGO)
  Stage 3A (FIGO)
  Stage 3B (FIGO)
  Stage 3C (FIGO)
  Stage 4 (FIGO)
  Stage I (AJCC 7th)
  Stage IA (FIGO)
  Stage IA1 (FIGO)
  Stage IA2 (FIGO)
  Stage IB (FIGO)
  Stage IB1 (FIGO)
  Stage IB2 (FIGO)
  Stage IIA (AJCC 7th)
  Stage IIA (FIGO)
  Stage IIA1 (FIGO)
  Stage IIA2 (FIGO)
  Stage IIB (AJCC 7th)
  Stage IIB (FIGO)
  Stage IIC (AJCC 7th)
  Stage IIIA (AJCC 7th)
  Stage IIIA (FIGO)
  Stage IIIB (AJCC 7th)
  Stage IIIB (FIGO)
  Stage IIIC (AJCC 7th)
  Stage IVA (AJCC 7th)
  Stage IVA (FIGO)
  Stage IVB (AJCC 7th)
  Stage IVB (FIGO)
  Stage Unknown (FIGO)
  Stanford University
  Strand Life Sciences
  Sysmex Corporation, Kobe, Japan
  TIBCO Software Inc
  Technological Advances for Genomics and Clinics, France
  The Community
  The GIMP Development Team
  The National Archives
  The National Archives, Tessella
  The University of Manchester
  Thermo
  Thermo Fisher Scientific
  Thompson Reuters
  Transformation-ML
  U.S. Food and Drug Administration
  UC Irvine
  UC Santa Cruz Computational Biology Group
  University Of California, Berkeley
  University of New Hampshire
  Uppsala Molekylmekaniska HB
  Walter and Eliza Hall Institute
  Waters
  Windows 5.1
  Windows 6.0
  XML
  alpha
  ambidexterous
  angstrom
  beta
  cM0 (colon)
  cM0 (kidney)
  cM0 (lung)
  cM0 (ovary)
  cM1 (colon)
  cM1 (kidney)
  cM1 (lung)
  cM1 (ovary)
  cM1a (colon)
  cM1a (lung)
  cM1b (colon)
  cM1b (lung)
  centimeter
  colony forming unit per volume
  count per molar
  count per molar second
  count per nanomolar
  count per nanomolar second
  cubic centimeter
  cubic decimeter
  day
  defined class
  degree Celsius
  degree Fahrenheit
  eBioscience
  example to be eventually removed
  failed exploratory term
  gram
  gram per deciliter
  gram per liter
  hertz
  hour
  kilogram
  left handed
  liter
  mass percentage
  mass volume percentage
  metadata complete
  metadata incomplete
  meter
  microgram
  microgram per liter
  microliter
  microliters per minute
  micrometer
  micromolar
  micromole
  milligram
  milligram per milliliter
  milliliter
  milliliter per liter
  millimeter
  millimolar
  minute
  molar
  month
  named class expression
  nanogram
  nanoliter
  nanometer
  nanomolar
  nanomole
  obsolete_MathWorks
  obsolete_Stanford University
  organizational term
  out of scope
  pH
  pM1 (colon)
  pM1 (kidney)
  pM1 (lung)
  pM1 (ovary)
  pM1a (colon)
  pM1a (lung)
  pM1b (colon)
  pM1b (lung)
  pN0 (colon)
  pN0 (kidney)
  pN0 (lung)
  pN0 (ovary)
  pN1 (colon)
  pN1 (kidney)
  pN1 (lung)
  pN1 (ovary)
  pN1a (colon)
  pN1b (colon)
  pN1c (colon)
  pN2 (colon)
  pN2 (lung)
  pN2a (colon)
  pN2b (colon)
  pN3 (lung)
  pT0 (colon)
  pT0 (kidney)
  pT0 (lung)
  pT0 (ovary)
  pT1 (colon)
  pT1 (kidney)
  pT1 (lung)
  pT1 (ovary)
  pT1a (kidney)
  pT1a (lung)
  pT1a (ovary)
  pT1b (kidney)
  pT1b (lung)
  pT1b (ovary)
  pT1c (ovary)
  pT2 (colon)
  pT2 (kidney)
  pT2 (lung)
  pT2 (ovary)
  pT2a (kidney)
  pT2a (lung)
  pT2a (ovary)
  pT2b (kidney)
  pT2b (lung)
  pT2b (ovary)
  pT2c (ovary)
  pT3 (colon)
  pT3 (kidney)
  pT3 (lung)
  pT3 (ovary)
  pT3a (kidney)
  pT3a (ovary)
  pT3b (kidney)
  pT3b (ovary)
  pT3c (kidney)
  pT3c (ovary)
  pT4 (kidney)
  pT4 (lung)
  pT4a (colon)
  pT4b (colon)
  pTis (colon)
  pTis (lung)
  pending final vetting
  picogram
  picoliter
  picomolar
  picomole
  placeholder removed
  ready for release
  requires discussion
  right handed
  second
  tar
  term imported
  term split
  terms merged
  to be replaced with external ontology term
  uncurated
  universal
  version 3
  version 4
  volume percentage
  week
  year
  zip

Ontology information

Ontology ID: swo
Version: 2022-10-11
Number of terms: 1972
Last loaded: Thu Nov 17 15:03:58 GMT 2022

license

https://creativecommons.org/licenses/by/4.0/

description

The Software Ontology (SWO) is a resource for describing software tools, their types, tasks, versions, provenance and associated data. It contains detailed information on licensing and formats as well as software applications themselves, mainly (but not limited) to the bioinformatics community.

title

Software Ontology