Applications of Signal Processing Techniques to Bioinformatics, Genomics, and Proteomics

Call for Papers

The recent development of high-throughput molecular genetics technologies has brought a major impact to bioinformatics, genomics, and proteomics. Classical signal processing techniques have found powerful applications in extracting and modeling the information provided by genomic and proteomic data. This special issue calls for contributions to modeling and processing of data arising in bioinformatics, genomics, and proteomics using signal processing techniques. Submissions are expected to address theoretical developments, computational aspects, or specific applications. However, all successful submissions are required to be technically solid and provide a good integration of theory with practical data.

Suitable topics for this special issue include but are not limited to:

  • Time-frequency representations
  • Spectral analysis
  • Estimation and detection
  • Stochastic modeling of gene regulatory networks
  • Signal processing for microarray analysis
  • Denoising of genomic data
  • Data compression
  • Pattern recognition
  • Signal processing methods in sequence analysis
  • Signal processing for proteomics

Authors should follow the EURASIP Journal on Bioinformatics and Systems Biology manuscript format described at the journal site http://www.hindawi.com/journals/bsb/. Prospective authors should submit an electronic copy of their complete manuscript through the EURASIP Journal on Bioinformatics and Systems Biology's Manuscript Tracking System at http://mts.hindawi.com/, according to the following timetable:

Manuscript DueJune 1, 2008
First Round of ReviewsSeptember 1, 2008
Publication DateDecember 1, 2008

Guest Editors:

  • Erchin Serpedin, Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843-3128, USA
  • Javier Garcia-Frias, Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716-7501, USA
  • Yufei Huang, Department of Electrical and Computer Engineering, University of Texas at San-Antonio, TX 78249-2057, USA
  • Ulisses Braga Neto, Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843-3128, USA