Research output per year
Research output per year
Daniel G. Hurley, Joseph Cursons, Yi Kan Wang, David M. Budden, Cristin G. Print, Edmund J. Crampin
Research output: Contribution to journal › Article › Other › peer-review
The wide variety of published approaches for the problemof regulatory network inferencemakes usingmultiple 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 technologyindependent and includes an interface layer to allow easy integration of components into other applications.
Original language | English |
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Pages (from-to) | 277-278 |
Number of pages | 2 |
Journal | Bioinformatics |
Volume | 31 |
Issue number | 2 |
DOIs | |
Publication status | Published - 15 Jan 2015 |
Externally published | Yes |
Research output: Contribution to journal › Comment / Debate › Other › peer-review