BioData Mining

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Editors-in-Chief

  • Jesus Aguilar-Ruiz, Pablo de Olavide University
  • Jason Moore, Dartmouth College

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Articles

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  • Generating network graphs for large datasets

    New multilevel network layout algorithms allow researchers to create biologically relevant and visually pleasing network graphs for large datasets within a multi optimization framework.

    BioData Mining 2012, 5:2

  • New software uses gene sets to rank literature

    'Caipirini', a new software program, allows ranking of biomedical literature based on biological relevance to gene sets, thereby enabling data from these high-throughput experiments to be more easily accessed.

    BioData Mining 2012, 5:1
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Aims & scope

BioData Mining is an open access, peer reviewed, online journal encompassing research on all aspects of data mining applied to high-dimensional biological and biomedical data, focusing on computational aspects of knowledge discovery from large-scale genetic, transcriptomic, genomic, proteomic, and metabolomic data.

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Using graph theory to analyze biological networks

 Open Access  Highly Accessed

Pavlopoulos GA, Secrier M, Moschopoulos CN, Soldatos TG, Kossida S, Aerts J, Schneider R and Bagos PG

BioData Mining 2011, 4:10 (28 April 2011)

Abstract | Full text | PDF

Editors' Profiles

Prof Jason Moore

Dr. Moore directs an NIH-funded research program that is focused on complex systems approaches to understanding the genetic basis for common human diseases. A major focus of the lab is on the development, evaluation and application of machine learning and data mining algorithms for detecting and characterizing nonlinear gene-gene and gene-environment interactions. Recent work is focused on the study of epistasis using network science and visual analytics. More information can be found at www.epistasis.org and compgen.blogspot.com.

Dr. Aguilar

Dr. Aguilar leads a research group on Bioinformatics. His group is involved in several projects related to gene association networks, protein structure prediction, disease prognosis and application of data mining or evolutionary techniques to biomedical problems. He is the Dean of the School of Engineering, at Pablo de Olavide University, Seville, Spain, and one of his main concerns is to approach biologists and computer scientists to common research goals.

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Indexed by

  • ACM
  • CAS
  • Embase
  • EmBiology
  • PubMed
  • PubMed Central
  • Scopus

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ISSN: 1756-0381