Your browser doesn't support javascript.
loading
Pathway Tools version 23.0 update: software for pathway/genome informatics and systems biology.
Karp, Peter D; Midford, Peter E; Billington, Richard; Kothari, Anamika; Krummenacker, Markus; Latendresse, Mario; Ong, Wai Kit; Subhraveti, Pallavi; Caspi, Ron; Fulcher, Carol; Keseler, Ingrid M; Paley, Suzanne M.
Affiliation
  • Karp PD; Bioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.
  • Midford PE; Bioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.
  • Billington R; Bioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.
  • Kothari A; Bioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.
  • Krummenacker M; Bioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.
  • Latendresse M; Artificial Intelligence Center, SRI International, Menlo Park, CA 94025, USA.
  • Ong WK; Bioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.
  • Subhraveti P; Bioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.
  • Caspi R; Bioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.
  • Fulcher C; Bioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.
  • Keseler IM; Bioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.
  • Paley SM; Bioinformatics Research Group, SRI International, Menlo Park, CA 94025, USA.
Brief Bioinform ; 22(1): 109-126, 2021 01 18.
Article in En | MEDLINE | ID: mdl-31813964
ABSTRACT
MOTIVATION Biological systems function through dynamic interactions among genes and their products, regulatory circuits and metabolic networks. Our development of the Pathway Tools software was motivated by the need to construct biological knowledge resources that combine these many types of data, and that enable users to find and comprehend data of interest as quickly as possible through query and visualization tools. Further, we sought to support the development of metabolic flux models from pathway databases, and to use pathway information to leverage the interpretation of high-throughput data sets.

RESULTS:

In the past 4 years we have enhanced the already extensive Pathway Tools software in several respects. It can now support metabolic-model execution through the Web, it provides a more accurate gap filler for metabolic models; it supports development of models for organism communities distributed across a spatial grid; and model results may be visualized graphically. Pathway Tools supports several new omics-data analysis tools including the Omics Dashboard, multi-pathway diagrams called pathway collages, a pathway-covering algorithm for metabolomics data analysis and an algorithm for generating mechanistic explanations of multi-omics data. We have also improved the core pathway/genome databases management capabilities of the software, providing new multi-organism search tools for organism communities, improved graphics rendering, faster performance and re-designed gene and metabolite pages.

AVAILABILITY:

The software is free for academic use; a fee is required for commercial use. See http//pathwaytools.com. CONTACT pkarp@ai.sri.com. SUPPLEMENTARY INFORMATION Supplementary data are available at Briefings in Bioinformatics online.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Genomics / Systems Biology / Metabolomics Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2021 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Genomics / Systems Biology / Metabolomics Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2021 Document type: Article Affiliation country: United States