NAIL, a software toolset for inferring, analyzing and visualizing regulatory networks

被引：11
作者：
Hurley, Daniel G. [1 ,2 ,3 ,4 ]
Cursons, Joseph [1 ,4 ]
Wang, Yi Kan [1 ,5 ]
Budden, David M. [4 ]
Print, Cristin G. [2 ,3 ,6 ]
Crampin, Edmund J. [1 ,4 ,7 ,8 ]
机构：
[1] Univ Auckland, Auckland Bioengn Inst, Auckland 1001, New Zealand
[2] Univ Auckland, Fac Med & Hlth Sci, Sch Med Sci, Dept Mol Med & Pathol, Auckland 1001, New Zealand
[3] Univ Auckland, Bioinformat Inst, Auckland 1001, New Zealand
[4] Univ Auckland, Maurice Wilkins Ctr, Auckland 1001, New Zealand
[5] Univ Melbourne, Melbourne Sch Engn, Syst Biol Lab, Melbourne, Vic 3010, Australia
[6] Univ Melbourne, Dept Math & Stat, Melbourne, Vic 3010, Australia
[7] Univ Melbourne, Sch Med, Melbourne, Vic 3010, Australia
[8] British Columbia Canc Agcy, Dept Mol Oncol, Vancouver, BC V5Z 4E6, Canada
来源：
BIOINFORMATICS | 2015年 / 31卷 / 02期
关键词：
TIME-COURSE DATA; INFERENCE; ARACNE;
D O I：
10.1093/bioinformatics/btu612
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
The wide variety of published approaches for the problem of regulatory network inference makes using multiple inference algorithms complex and time-consuming. Network Analysis and Inference Library (NAIL) is a set of software tools to simplify the range of computational activities involved in regulatory network inference. It uses a modular approach to connect different network inference algorithms to the same visualization and network-based analyses. NAIL is technology-independent and includes an interface layer to allow easy integration of components into other applications.
引用
收藏
页码：277 / 278
页数：2
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