Workshop on Knowledge Extraction from Genomic Data

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

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Call for Papers

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Journal special issue:

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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

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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

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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

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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

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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
Paulo Azevedo
Rui Camacho
Carlos A. Canchaya
André Carvalho
Vítor Santos Costa
Francisco Couto,
Jesse Davis
Inês Dutra
Florentino
Pedro Gabriel Ferreira
Nuno Fonseca
Ana Teresa Freitas
Fernando Diaz Gomez
Sara Madeira
Arlindo Oliveira
Irene Ong
Miguel Rocha
Marie-France Sagot

Ashwin Srinivasan
Jorge Vieira (Imperial College, London, UK)
(Universidade do Minho, Portugal)
(LIAAD & FEUP, Universidade do Porto, Portugal)
(Department of Biochemistry, Genetics and Immunology & University of Vigo, Spain)
(University of São Paulo São Carlos, Brasil)
(CRACS, FCUP, Universidade do Porto, Portugal)
(Faculdade de Ciências da Universidade de Lisboa , Portugal)
(Katholieke Universiteit Leuven, Belgium)
(CRACS, FCUP, Universidade do Porto, Portugal)
Fdez-Riverola (University of Vigo, Spain)
(Swiss Institute of Bioinformatics, Switzerland)
(EMBL Outstation , European Bioinformatics Institute (EBI), UK)
(CSE Department & INESC-ID/IST & Technical University of Lisbon, Portugal)
(Computer Science Department & Universidad de Valladolid, Spain)
(CSE Dept, IST, University of Lisbon, Portugal)
(CSE Dept, IST, University of Lisbon, Portugal)
(Biostatistics and Medical Informatics, Wisconsin University, USA)
(University of Minho, Portugal)
(INRIA Grenoble Rhône-Alpes & Laboratoire de Biométrie et
Biologie Évolutive & Université Claude Bernard (Lyon 1), France)
(South Asian University, India)
(IBMC, Portugal)