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BIOPYDB: A Dynamic Human Cell Specific Biochemical Pathway Database with Advanced Computational Analyses Platform
BIOPYDB: BIOchemical PathwaY DataBase is developed as a manually curated, readily updatable, dynamic resource of human cell specific pathway information along with integrated computational platform to perform various pathway analyses. Presently, it comprises of 46 pathways, 3189 molecules, 5742 reac...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
De Gruyter
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6340122/ https://www.ncbi.nlm.nih.gov/pubmed/29547394 http://dx.doi.org/10.1515/jib-2017-0072 |
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author | Chowdhury, Saikat Sinha, Noopur Ganguli, Piyali Bhowmick, Rupa Singh, Vidhi Nandi, Sutanu Sarkar, Ram Rup |
author_facet | Chowdhury, Saikat Sinha, Noopur Ganguli, Piyali Bhowmick, Rupa Singh, Vidhi Nandi, Sutanu Sarkar, Ram Rup |
author_sort | Chowdhury, Saikat |
collection | PubMed |
description | BIOPYDB: BIOchemical PathwaY DataBase is developed as a manually curated, readily updatable, dynamic resource of human cell specific pathway information along with integrated computational platform to perform various pathway analyses. Presently, it comprises of 46 pathways, 3189 molecules, 5742 reactions and 6897 different types of diseases linked with pathway proteins, which are referred by 520 literatures and 17 other pathway databases. With its repertoire of biochemical pathway data, and computational tools for performing Topological, Logical and Dynamic analyses, BIOPYDB offers both the experimental and computational biologists to acquire a comprehensive understanding of signaling cascades in the cells. Automated pathway image reconstruction, cross referencing of pathway molecules and interactions with other databases and literature sources, complex search operations to extract information from other similar resources, integrated platform for pathway data sharing and computation, etc. are the novel and useful features included in this database to make it more acceptable and attractive to the users of pathway research communities. The RESTful API service is also made available to the advanced users and developers for accessing this database more conveniently through their own computer programmes. |
format | Online Article Text |
id | pubmed-6340122 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | De Gruyter |
record_format | MEDLINE/PubMed |
spelling | pubmed-63401222019-01-28 BIOPYDB: A Dynamic Human Cell Specific Biochemical Pathway Database with Advanced Computational Analyses Platform Chowdhury, Saikat Sinha, Noopur Ganguli, Piyali Bhowmick, Rupa Singh, Vidhi Nandi, Sutanu Sarkar, Ram Rup J Integr Bioinform Research Articles BIOPYDB: BIOchemical PathwaY DataBase is developed as a manually curated, readily updatable, dynamic resource of human cell specific pathway information along with integrated computational platform to perform various pathway analyses. Presently, it comprises of 46 pathways, 3189 molecules, 5742 reactions and 6897 different types of diseases linked with pathway proteins, which are referred by 520 literatures and 17 other pathway databases. With its repertoire of biochemical pathway data, and computational tools for performing Topological, Logical and Dynamic analyses, BIOPYDB offers both the experimental and computational biologists to acquire a comprehensive understanding of signaling cascades in the cells. Automated pathway image reconstruction, cross referencing of pathway molecules and interactions with other databases and literature sources, complex search operations to extract information from other similar resources, integrated platform for pathway data sharing and computation, etc. are the novel and useful features included in this database to make it more acceptable and attractive to the users of pathway research communities. The RESTful API service is also made available to the advanced users and developers for accessing this database more conveniently through their own computer programmes. De Gruyter 2018-03-16 /pmc/articles/PMC6340122/ /pubmed/29547394 http://dx.doi.org/10.1515/jib-2017-0072 Text en ©2018, Saikat Chowdhury et al., published by De Gruyter, Berlin/Boston http://creativecommons.org/licenses/by-nc-nd/4.0 This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. |
spellingShingle | Research Articles Chowdhury, Saikat Sinha, Noopur Ganguli, Piyali Bhowmick, Rupa Singh, Vidhi Nandi, Sutanu Sarkar, Ram Rup BIOPYDB: A Dynamic Human Cell Specific Biochemical Pathway Database with Advanced Computational Analyses Platform |
title | BIOPYDB: A Dynamic Human Cell Specific Biochemical Pathway Database with Advanced Computational Analyses Platform |
title_full | BIOPYDB: A Dynamic Human Cell Specific Biochemical Pathway Database with Advanced Computational Analyses Platform |
title_fullStr | BIOPYDB: A Dynamic Human Cell Specific Biochemical Pathway Database with Advanced Computational Analyses Platform |
title_full_unstemmed | BIOPYDB: A Dynamic Human Cell Specific Biochemical Pathway Database with Advanced Computational Analyses Platform |
title_short | BIOPYDB: A Dynamic Human Cell Specific Biochemical Pathway Database with Advanced Computational Analyses Platform |
title_sort | biopydb: a dynamic human cell specific biochemical pathway database with advanced computational analyses platform |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6340122/ https://www.ncbi.nlm.nih.gov/pubmed/29547394 http://dx.doi.org/10.1515/jib-2017-0072 |
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