ChiBE: Interactive Visualization and Manipulation of BioPAX Pathway Models
Overview
Affiliations
Summary: Representing models of cellular processes or pathways in a graphically rich form facilitates interpretation of biological observations and generation of new hypotheses. Solving biological problems using large pathway datasets requires software that can combine data mapping, querying and visualization as well as providing access to diverse data resources on the Internet. ChiBE is an open source software application that features user-friendly multi-view display, navigation and manipulation of pathway models in BioPAX format. Pathway views are rendered in a feature-rich format, and may be laid out and edited with state-of-the-art visualization methods, including compound or nested structures for visualizing cellular compartments and molecular complexes. Users can easily query and visualize pathways through an integrated Pathway Commons query tool and analyze molecular profiles in pathway context.
Availability: http://www.bilkent.edu.tr/%7Ebcbi/chibe.html.
Supplementary Information: Supplementary data are available at Bioinformatics online.
BioPAX in 2024: Where we are and where we are heading.
Beust C, Becker E, Theret N, Dameron O Comput Struct Biotechnol J. 2024; 23:3999-4010.
PMID: 39582893 PMC: 11585474. DOI: 10.1016/j.csbj.2024.10.045.
Golebiewski M, Bader G, Gleeson P, Gorochowski T, Keating S, Konig M J Integr Bioinform. 2024; 21(1).
PMID: 39026464 PMC: 11293897. DOI: 10.1515/jib-2024-0015.
Automated assembly of molecular mechanisms at scale from text mining and curated databases.
Bachman J, Gyori B, Sorger P Mol Syst Biol. 2023; 19(5):e11325.
PMID: 36938926 PMC: 10167483. DOI: 10.15252/msb.202211325.
PyBioPAX: biological pathway exchange in Python.
Gyori B, Hoyt C J Open Source Softw. 2022; 7(71).
PMID: 36071952 PMC: 9447860. DOI: 10.21105/joss.04136.
Analyzing causal relationships in proteomic profiles using CausalPath.
Luna A, Siper M, Korkut A, Durupinar F, Dogrusoz U, Aslan J STAR Protoc. 2021; 2(4):100955.
PMID: 34877547 PMC: 8633371. DOI: 10.1016/j.xpro.2021.100955.