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CPF - International Journal of Knowledge Discovery in Bioinformatics PDF Print E-mail
Written by Virginia Gonzalez   
Friday, 21 January 2011 14:33
Third and fourth Issues of International Journal of Knowledge Discovery in Bioinformatics (IJKDB) has been published.   The table of content of the two issues is attached below.

 
IJKDB Vol. 1, Issue 3
 
1.  Preface
 
2.  Incorporating Network Topology Improves Prediction of Protein Interaction Networks from Transcriptomic Data  
   Peter Larsen (Argonne National Laboratory, USA)
   Frank Collart (Argonne National Laboratory, USA)
   Yang Dai (University of Illinois at Chicago, USA)
 
3.  Mining Protein Interactome Networks to Measure Interaction Reliability and Select Hub Proteins  
   Young-Rae Cho (Baylor University, USA)
   Aidong Zhang (State University of New York, Buffalo, USA)
 
4.  Discriminative Subgraph Mining for Protein Classification  
   Ning Jin (University of North Carolina, Chapel Hill, USA)
   Calvin Young (University of North Carolina, Chapel Hill, USA)
   Wei Wang (University of North Carolina, Chapel Hill, USA)
 
5.  Identification of Distinguishing Motifs  
   Wangsen Feng (Peking University, China)
   Lusheng Wang (City University of Hong Kong, China)
 
6.  Mining Frequent Boolean Expressions: Application to Gene Expression and Regulatory Modeling  
   Mohammed Zaki (Rensselaer Polytechnic Institute, USA)
   Naren Ramakrishnan (Virginia Tech., USA)
   Lizhuang Zhao (Microsoft Corp., USA)
 
7.  Bioinformatics Methods for Studying MicroRNA and ARE-Mediated Regulation of Post-Transcriptional Gene Expression  
   Richipal Bindra (New Jersey Institute of Technology, USA)
   Jason Wang (New Jersey Institute of Technology, USA)
   Paramjeet Bagga (Ramapo College of New Jersey, USA)
 
 
IJKDB, Issue 4
 
1.  Preface
 
2.  Hierarchical Density-Based Clustering of White Matter Tracts in the Human Brain  
   Junming Shao (University of Munich, Germany)
   Klaus Hahn (HMGU Helmholtz Center Munich, Germany)
   Qinli Yang (University of Edinburgh, UK)
   Afra Wohlschläeger (Technical University of Munich, Germany)
   Christian Boehm (University of Munich, Germany)
   Nicholas Myers (Technical University of Munich, Germany)
   Claudia Plant (Florida State University, USA)
 
3.  Revealing the Origin and Nature of Drug Resistance of Dynamic Tumour Systems 
   Ricardo Santiago-Mozos (National University of Ireland Galway, Ireland)
   Imtiaz Khan (Cardiff University, UK)
   Michael Madden (National University of Ireland Galway, Ireland)
 
4.  Improving Prediction Accuracy via Subspace Modeling in a Statistical Geometry Based Computational Protein Mutagenesis 
   Majid Masso (George Mason University, USA)
 
5.  Efficient Mining Frequent Closed Discriminative Biclusters by Sample-Growth: The FDCluster Approach 
   Miao Wang (Northwestern Polytechnical University, China)
   Xuequn Shang (Northwestern Polytechnical University, China)
   Shaohua Zhang (Northwestern Polytechnical University, China)
   Zhanhuai Li (Northwestern Polytechnical University, China)
 
============================================================
CALL FOR PAPERS
 
1. Mission of IJKDB:
The mission of the International Journal of Knowledge Discovery in Bioinformatics (IJKDB) is to increase awareness of interesting and challenging biomedical problems and to inspire new knowledge discovery solutions, which can be translated into further biological and clinical studies. IJKDB is aimed at researchers in the areas of bioinformatics, knowledge discovery, machine learning, and data structure, as well as practitioners in the life sciences industry. In addition to original research papers in bioinformatics, this journal emphasizes software and tools that exploit the knowledge discovery techniques to address biological problems and databases that contain useful biomedical data generated in wet and dry labs. IJKDB encompasses discovery notes that report newly found biological discoveries using computational techniques and includes reviews and tutorials on relevant computational and experimental techniques for translational research and knowledge discovery in life sciences.
 
2. Coverage of IJKDB:
 
Topics to be discussed in this journal include (but are not limited to) the following:  

       ·         Bioimage analysis
·         Bioinformatics databases
·         Biological data and text mining algorithms
·         Biological data collection and cleansing
·         Biological data integration
·         Biological data management
·         Biological knowledge discovery
·         Biological knowledge visualization
·         Biological networks (protein interaction, metabolic, transcription factor, signaling, etc.)
·         Biological tools/applications
·         Biostatistics
·         Clinical research informatics
·         Computational evolutionary biology
·         Data mining and its applications in bioinformatics
·         Disease bioinformatics
·         Drug discovery
·         Gene expression analysis
·         Gene regulation
·         Genome annotation
·         Integration of biological and clinical data
·         Molecular evolution and phylogeny
·         Ontology
·         Probability theory
·         Protein/RNA structure prediction
·         Sequence analysis
·         Statistics and its applications
·         Structural proteomics
·         Systems biology
·         Translational bioinformatics
3. Review Board 
International Advisory Board
Philip E. Bourne, University of California San Diego, USA
Satoru Miyano, University of Tokyo, Japan
George Perry, University of Texas at San Antonio, USA
Anna Tramontano, Sapienza University, Italy
Philip S. Yu, University of Illinois at Chicago, USA
Associate Editors
Zhang Aidong, State University of New York at Buffalo (UB), USA
Tatsuya Akutsu, Bioinformatics Center - Institute for Chemical Research at Kyoto University, Japan
William CS Cho, Queen Elizabeth Hospital, Hong Kong
Peter Clote, Boston College, USA
Eytan Domany, Weizmann Institute of Science, Israel
Wen-Lian Hsu, Academia Sinica, Taiwan
Igor Jurisica, University of Toronto - Ontario Cancer Institute, Canada
Samuel Kaski, Helsinki University of Technology, Finland
Daisuke Kihara, Purdue University, USA
Hiroshi Mamitsuka, Bioinformatics Center - Institute for Chemical Research at Kyoto University, Japan
George Perry, University of Texas at San Antonio, USA
Narayanaswamy Srinivasan, Indian Institute of Science, India
Alfonso Valencia, National Cancer Research Center, Spain
Jason T.L. Wang, New Jersey Institute of Technology, USA
Lusheng Wang, City University of Hong Kong, China
Wei Wang, University of North Carolina at Chapel Hill, USA
Mohammed J. Zaki, Rensselaer Polytechnic Institute, USA

4. Journal submission website:

http://datam.i2r.a-star.edu.sg/ijkdb/