Network structures and algorithms in Bioconductor

被引:58
作者
Carey, VJ
Gentry, J
Whalen, E
Gentleman, R
机构
[1] Brigham & Womens Hosp, Channing Lab, Boston, MA 02115 USA
[2] Dana Farber Canc Inst, Div Biostat, Boston, MA 02115 USA
关键词
D O I
10.1093/bioinformatics/bth458
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
In this paper, we review the central concepts and implementations of tools for working with network structures in Bioconductor. Interfaces to open source resources for visualization (AT&T Graphviz) and network algorithms (Boost) have been developed to support analysis of graphical structures in genomics and computational biology.
引用
收藏
页码:135 / 136
页数:2
相关论文
共 4 条
  • [1] Gene Ontology: tool for the unification of biology
    Ashburner, M
    Ball, CA
    Blake, JA
    Botstein, D
    Butler, H
    Cherry, JM
    Davis, AP
    Dolinski, K
    Dwight, SS
    Eppig, JT
    Harris, MA
    Hill, DP
    Issel-Tarver, L
    Kasarskis, A
    Lewis, S
    Matese, JC
    Richardson, JE
    Ringwald, M
    Rubin, GM
    Sherlock, G
    [J]. NATURE GENETICS, 2000, 25 (01) : 25 - 29
  • [2] COLLADOVIDES J, 2002, GENE REGULATION META
  • [3] WebInterViewer: visualizing and analyzing molecular interaction networks
    Han, KS
    Ju, BH
    Jung, HM
    [J]. NUCLEIC ACIDS RESEARCH, 2004, 32 : W89 - W95
  • [4] Siek JeremyG., 2001, BOOST GRAPH LIB USER