NAIL, a software toolset for inferring, analyzing and visualizing regulatory networks
Bioinformatics, 2015•academic.oup.com
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 …
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 …
Abstract
Summary : 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.
Availability and implementation : NAIL is implemented in MATLAB, runs on Windows, Linux and OSX, and is available from SourceForge at https://sourceforge.net/projects/nailsystemsbiology/ for all researchers to use.
Contact : daniel.hurley@unimelb.edu.au
Supplementary information : Supplementary data are available at Bioinformatics online.
Oxford University Press
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