Workshop on Knowledge Extraction from Genomic Data (KEGD)

http://kegd.fe.up.pt

as part of the
IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
(scm.ulster.ac.uk/~bibm/2014)
Belfast, UK, November 2-5, 2014

===============
Call for Papers
===============

Journal special issue:
-----------------------
We will have a special issue in the International Journal of Computational Intelligence in Bioinformatics and Systems Biology with selected and extended papers from the workshop.



The success of bioinformatics in recent years has been prompted by
research in molecular biology and medicine in initiatives like the
human genome project. These initiatives gave rise to an enormous
increase in the volume and diversification of data, including protein
and genomic sequences, high-throughput experimental and biomedical
literature. The accumulation and exploitation of large-scale databases
prompts for new computational technologies and for research into these
issues. In this context, many widely successful computational models
and tools used by researchers in these initiatives, such as clustering
and classification methods for experimental data, are based on KDD
(Knowledge Discovery from Databases). In fact, these methods have been
helping in tasks related to knowledge discovery, modeling and
optimization tasks, aiming at the development of computational models
so that the response of biological complex systems to any perturbation
can be predicted. Hence, this workshop brings the opportunity to
discuss techniques and applications of Knowledge Extraction techniques
with an interdisciplinary character, exploring the interactions
between Life Science and Computer Science researchers.

Topics and Technical issues
---------------------------

Biological areas of interest include, but are not limited to:

- Motif, gene and signal recognition;
- Molecular evolution, phylogenetics and phylogenomics;
- Determination or prediction of the structure of RNA and protein in two and three dimensions;
- Analysis of high-throughput biological data (transcriptomics, proteomics, metabolomics, fluxomics);
- Functional genomics;
- Problems in population genetics;% such as linkage and QTL analysis, linkage disequilibrium analysis
in populations, and haplotype determination;

Computational areas of interest include, but are not limited to:

- Knowledge Discovery and Data Mining techniques;
- Text Mining and Language Processing;
- Machine Learning and Pattern Recognition;
- Hidden Markov Models;
- Bayesian Approaches;
- Artificial Neural Networks;
- Support Vector Machines;
- Evolutionary Computing;



Important Dates
_______________

Here are some important dates:

Full workshop papers submission September 26th, 2014
Notification of paper acceptance September 30th, 2014
Camera-ready of accepted papers October 10th, 2014
Workshops November 2nd-5th, 2014


Submission and reviewing Information
-------------------------------------

Authors should submit full papers with a maximum of 8 pages reporting on
innovative work, work reported elsewhere, ongoing research or student
projects.
The papers should follow the IEEE Computer Society Proceedings Manuscript
Formatting Guidelines, and you can download the format instructions
and Latex and Word templates here:
http://www.ieee.org/conferences_events/conferences/publishing/templates.html

Electronic submissions (in PDF or Postscript format) are required.
Conference submission site is:
https://wi-lab.com/cyberchair/2014/bibm14/cbc_index.php

Each paper will be reviewed by 3 members of the PC.

Selected participants will be asked to submit their revised papers in a format
to be specified at the time of acceptance.


At least one of the authors must be registered at the conference for
the paper to be published in the proceedings.


Organisation
____________

Program Chairs:

Rui Camacho, Ph.D.
LIAAD & Faculdade de Engenharia, Universidade do Porto, Portugal
Portugal
E-mail: rcamacho@fe.up.pt
Vitor Santos Costa, Ph.D.
CRACS & Faculdade de Ciencias, Universidade do Porto
Portugal
E-mail: vsc@dcc.fc.up.pt
Nuno A. Fonseca, Ph.D.
EMBL Outstation, European Bioinformatics Institute (EBI)
UK


Program Committee:

Alexessander Alves (Imperial College, London, UK)
Paulo Azevedo (Universidade do Minho, Portugal)
Rui Camacho (LIAAD & FEUP, Universidade do Porto, Portugal)
Carlos A. Canchaya (Department of Biochemistry, Genetics and Immunology & University of Vigo, Spain)
André Carvalho (University of São Paulo São Carlos, Brasil)
Vítor Santos Costa (CRACS, FCUP, Universidade do Porto, Portugal)
Francisco Couto, (Faculdade de Ciências da Universidade de Lisboa , Portugal)
Jesse Davis (Katholieke Universiteit Leuven, Belgium)
Inês Dutra (CRACS, FCUP, Universidade do Porto, Portugal)
Florentino Fdez-Riverola (University of Vigo, Spain)
Pedro Gabriel Ferreira (Swiss Institute of Bioinformatics, Switzerland)
Nuno Fonseca (EMBL Outstation , European Bioinformatics Institute (EBI), UK)
Ana Teresa Freitas (CSE Department & INESC-ID/IST & Technical University of Lisbon, Portugal)
Fernando Diaz Gomez (Computer Science Department & Universidad de Valladolid, Spain)
Sara Madeira (CSE Dept, IST, University of Lisbon, Portugal)
Arlindo Oliveira (CSE Dept, IST, University of Lisbon, Portugal)
Irene Ong (Biostatistics and Medical Informatics, Wisconsin University, USA)
Miguel Rocha (University of Minho, Portugal)
Marie-France Sagot (INRIA Grenoble Rhône-Alpes & Laboratoire de Biométrie et
Biologie Évolutive & Université Claude Bernard (Lyon 1), France)
Ashwin Srinivasan (South Asian University, India)
Jorge Vieira (IBMC, Portugal)