Campus Units

Biochemistry, Biophysics and Molecular Biology, Roy J. Carver Department of, Bioinformatics and Computational Biology

Document Type

Editorial

Publication Version

Published Version

Publication Date

2015

Journal or Book Title

Journal of Data Mining in Genomics & Proteomics

Volume

6

Issue

1

First Page

e117

DOI

10.4172/2153-0602.1000e117

Abstract

With the development of high-throughput, next-generation sequencing and other advanced technologies, a large number of gene expression profiles have been produced. Many of these profiles are available from public databases [1-3]. A challenging research problem that has drawn a lot of attention in the past is to infer gene regulatory networks from the expression data. A gene regulatory network is represented by a directed graph, in which nodes represent transcription factors or mRNA with edges showing transcriptional regulatory relationships between two nodes.

Comments

This article is published as Kejue Jia and Robert L. Jernigan (2015) Combining Disparate Data Types: Protein Sequences and Protein Structures. J Data Mining Genomics Proteomics 6:e117. doi: 10.4172/2153-0602.1000e117. Posted with permission.

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Copyright Owner

Jia K, et al.

Language

en

File Format

application/pdf

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