Literature DB >> 25075120

NetPathMiner: R/Bioconductor package for network path mining through gene expression.

Ahmed Mohamed1, Timothy Hancock2, Canh Hao Nguyen1, Hiroshi Mamitsuka1.   

Abstract

UNLABELLED: NetPathMiner is a general framework for mining, from genome-scale networks, paths that are related to specific experimental conditions. NetPathMiner interfaces with various input formats including KGML, SBML and BioPAX files and allows for manipulation of networks in three different forms: metabolic, reaction and gene representations. NetPathMiner ranks the obtained paths and applies Markov model-based clustering and classification methods to the ranked paths for easy interpretation. NetPathMiner also provides static and interactive visualizations of networks and paths to aid manual investigation. AVAILABILITY: The package is available through Bioconductor and from Github at http://github.com/ahmohamed/NetPathMiner.
© The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Mesh:

Year:  2014        PMID: 25075120      PMCID: PMC4609018          DOI: 10.1093/bioinformatics/btu501

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  8 in total

1.  Extracting active pathways from gene expression data.

Authors:  Jean Philippe Vert; Minoru Kanehisa
Journal:  Bioinformatics       Date:  2003-10       Impact factor: 6.937

2.  rBiopaxParser--an R package to parse, modify and visualize BioPAX data.

Authors:  Frank Kramer; Michaela Bayerlová; Florian Klemm; Annalen Bleckmann; Tim Beissbarth
Journal:  Bioinformatics       Date:  2012-12-28       Impact factor: 6.937

3.  Activity motifs reveal principles of timing in transcriptional control of the yeast metabolic network.

Authors:  Gal Chechik; Eugene Oh; Oliver Rando; Jonathan Weissman; Aviv Regev; Daphne Koller
Journal:  Nat Biotechnol       Date:  2008-11       Impact factor: 54.908

4.  Mining metabolic pathways through gene expression.

Authors:  Timothy Hancock; Ichigaku Takigawa; Hiroshi Mamitsuka
Journal:  Bioinformatics       Date:  2010-06-29       Impact factor: 6.937

5.  Identifying neighborhoods of coordinated gene expression and metabolite profiles.

Authors:  Timothy Hancock; Nicolas Wicker; Ichigaku Takigawa; Hiroshi Mamitsuka
Journal:  PLoS One       Date:  2012-02-15       Impact factor: 3.240

6.  Pathview: an R/Bioconductor package for pathway-based data integration and visualization.

Authors:  Weijun Luo; Cory Brouwer
Journal:  Bioinformatics       Date:  2013-06-04       Impact factor: 6.937

7.  RCytoscape: tools for exploratory network analysis.

Authors:  Paul T Shannon; Mark Grimes; Burak Kutlu; Jan J Bot; David J Galas
Journal:  BMC Bioinformatics       Date:  2013-07-09       Impact factor: 3.169

8.  The BridgeDb framework: standardized access to gene, protein and metabolite identifier mapping services.

Authors:  Martijn P van Iersel; Alexander R Pico; Thomas Kelder; Jianjiong Gao; Isaac Ho; Kristina Hanspers; Bruce R Conklin; Chris T Evelo
Journal:  BMC Bioinformatics       Date:  2010-01-04       Impact factor: 3.169

  8 in total
  4 in total

1.  Concurrent lipidomics and proteomics on malignant plasma cells from multiple myeloma patients: Probing the lipid metabolome.

Authors:  Ahmed Mohamed; Joel Collins; Hui Jiang; Jeffrey Molendijk; Thomas Stoll; Federico Torta; Markus R Wenk; Robert J Bird; Paula Marlton; Peter Mollee; Kate A Markey; Michelle M Hill
Journal:  PLoS One       Date:  2020-01-08       Impact factor: 3.240

2.  Analysing the meta-interaction between pathways by gene set topological impact analysis.

Authors:  Shen Yan; Xu Chi; Xiao Chang; Mengliang Tian
Journal:  BMC Genomics       Date:  2020-10-27       Impact factor: 3.969

3.  CTpathway: a CrossTalk-based pathway enrichment analysis method for cancer research.

Authors:  Haizhou Liu; Mengqin Yuan; Ramkrishna Mitra; Xu Zhou; Min Long; Wanyue Lei; Shunheng Zhou; Yu-E Huang; Fei Hou; Christine M Eischen; Wei Jiang
Journal:  Genome Med       Date:  2022-10-13       Impact factor: 15.266

4.  Comparative transcriptomics with self-organizing map reveals cryptic photosynthetic differences between two accessions of North American Lake cress.

Authors:  Hokuto Nakayama; Tomoaki Sakamoto; Yuki Okegawa; Kaori Kaminoyama; Manabu Fujie; Yasunori Ichihashi; Tetsuya Kurata; Ken Motohashi; Ihsan Al-Shehbaz; Neelima Sinha; Seisuke Kimura
Journal:  Sci Rep       Date:  2018-02-19       Impact factor: 4.379

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.