Biological and biomedical research are increasingly driven by
experimental techniques that challenge our ability to analyse,
process and extract meaningful knowledge from the underlying data.
The impressive capabilities of next generation sequencing
technologies, together with novel and ever evolving distinct types
of omics data technologies, have put an increasingly complex set of
challenges for the growing fields of Bioinformatics and
Computational Biology. The analysis of the datasets produced and
their integration call for new algorithms and approaches from
fields such as Databases, Statistics, Data Mining, Machine
Learning, Optimization, Computer Science and Artificial
Intelligence. Clearly, Biology is more and more a science of
information requiring tools from the computational sciences. In the
last few years, we have seen the surge of a new generation of
interdisciplinary scientists that have a strong background in the
biological and computational sciences. In this context, the
interaction of researchers from different scientific fields is,
more than ever, of foremost importance boosting the research
efforts in the field and contributing to the education of a new
generation of Bioinformatics scientists. PACBB 14 contributes to
this effort promoting this fruitful interaction. PACBB'14 technical
program included 34 papers spanning many different sub-fields in
Bioinformatics and Computational Biology. Therefore, the conference
promotes the interaction of scientists from diverse research groups
and with a distinct background such as computer scientists,
mathematicians or biologists."
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