KiPar statistics

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Citations per year

Number of citations per year for the bioinformatics software tool KiPar
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Tool usage distribution map

This map represents all the scientific publications referring to KiPar per scientific context
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Associated diseases

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Popular tool citations

chevron_left Quantitative kinetic modeling chevron_right
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KiPar specifications

Information


Unique identifier OMICS_22162
Name KiPar
Software type Application/Script
Interface Command line interface
Restrictions to use None
Input data A metabolic pathway, a subset of its reactions and a set of required kinetic parameters.
Operating system Unix/Linux, Mac OS, Windows
Programming languages Java
Database management system PostgreSQL
License Academic Free License version 3.0
Computer skills Advanced
Version 4
Stability Beta
Maintained Yes

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Versioning


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Maintainers


  • person_outline Irena Spasic
  • person_outline Douglas Kell

Publication for KiPar

KiPar citations

 (2)
library_books

Automated extraction and semantic analysis of mutation impacts from the biomedical literature

2012
BMC Genomics
PMCID: 3395893
PMID: 22759648
DOI: 10.1186/1471-2164-13-S4-S10

[…] umbers and localization is presented in []. The proposed rule- and dictionary-based approach in this system is applied to PubMed abstracts and the results are provided in KID, the KInetic Database [].KiPar [], an information retrieval system, focuses on kinetic modeling of metabolic pathways using a rule-based approach.However, all the existing approaches are unable to extract the protein properti […]

library_books

KID an algorithm for fast and efficient text mining used to automatically generate a database containing kinetic information of enzymes

2010
BMC Bioinformatics
PMCID: 2912889
PMID: 20626859
DOI: 10.1186/1471-2105-11-375

[…] ing [-], i.e. the computer aided extraction of data from natural written text [,-]. Current algorithms include machine learning (e.g. Kinetikon []), statistic (e.g. FRENDA and AMENDA []), rule-based (KiPar [] and BioRAT []) and mixed approaches (SUISEKI []).Here we present a rule- and dictionary-based [,] text mining algorithm for the extraction of kinetic data, developed with a focus on a fast ca […]


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KiPar institution(s)
Manchester Centre for Integrative Systems Biology, The University of Manchester, Manchester, UK; School of Computer Science, The University of Manchester, Manchester, UK; School of Chemical Engineering and Analytical Science, The University of Manchester, Manchester, UK; School of Chemistry, The University of Manchester, Manchester, UK
KiPar funding source(s)
Supported by Biotechnology and Biological Sciences Research Council and Engineering and Physical Sciences Research Council.

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