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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'16 hopes to
contribute to this effort promoting this fruitful interaction.
PACBB'16 technical program included 21 papers spanning many
different sub-fields in Bioinformatics and Computational Biology.
Therefore, the conference will certainly promote the interaction of
scientists from diverse research groups and with a distinct
background (computer scientists, mathematicians, biologists). The
scientific content will certainly be challenging and will promote
the improvement of the work being developed by each of the
participants.
This proceedings presents recent practical applications of
Computational Biology and Bioinformatics. It contains the
proceedings of the 9th International Conference on Practical
Applications of Computational Biology & Bioinformatics held at
University of Salamanca, Spain, at June 3rd-5th, 2015. The
International Conference on Practical Applications of Computational
Biology & Bioinformatics (PACBB) is an annual international
meeting dedicated to emerging and challenging applied research in
Bioinformatics and Computational Biology. 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.
The growth in the Bioinformatics and Computational Biology fields
over the last few years has been remarkable and the trend is to
increase its pace. In fact, the need for computational techniques
that can efficiently handle the huge amounts of data produced by
the new experimental techniques in Biology is still increasing
driven by new advances in Next Generation Sequencing, several types
of the so called omics data and image acquisition, just to name a
few. The analysis of the datasets that produces and its integration
call for new algorithms and approaches from fields such as
Databases, Statistics, Data Mining, Machine Learning, Optimization,
Computer Science and Artificial Intelligence. Within this scenario
of increasing data availability, Systems Biology has also been
emerging as an alternative to the reductionist view that dominated
biological research in the last decades. Indeed, 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'13 hopes to contribute to this effort promoting this fruitful
interaction. PACBB'13 technical program included 19 papers from a
submission pool of 32 papers spanning many different sub-fields in
Bioinformatics and Computational Biology. Therefore, the conference
will certainly have promoted the interaction of scientists from
diverse research groups and with a distinct background (computer
scientists, mathematicians, biologists). The scientific content
will certainly be challenging and will promote the improvement of
the work that is being developed by each of the participants.
The growth in the Bioinformatics and Computational Biology
fields over the last few years has been remarkable and the trend is
to increase its pace. In fact, the need for computational
techniques that can efficiently handle the huge amounts of data
produced by the new experimental techniques in Biology is still
increasing driven by new advances in Next Generation Sequencing,
several types of the so called omics data and image acquisition,
just to name a few. The analysis of the datasets that produces and
its integration call for new algorithms and approaches from fields
such as Databases, Statistics, Data Mining, Machine Learning,
Optimization, Computer Science and Artificial Intelligence. Within
this scenario of increasing data availability, Systems Biology has
also been emerging as an alternative to the reductionist view that
dominated biological research in the last decades. Indeed, 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'12 hopes to contribute to this effort promoting this fruitful
interaction. PACBB'12 technical program included 32 papers from a
submission pool of 61 papers spanning many different sub-fields in
Bioinformatics and Computational Biology. Therefore, the conference
will certainly have promoted the interaction of scientists from
diverse research groups and with a distinct background (computer
scientists, mathematicians, biologists). The scientific content
will certainly be challenging and will promote the improvement of
the work that is being developed by each of the participants.
The growth in the Bioinformatics and Computational Biology fields
over the last few years has been remarkable and the trend is to
increase its pace. In fact, the need for computational techniques
that can efficiently handle the huge amounts of data produced by
the new experimental techniques in Biology is still increasing
driven by new advances in Next Generation Sequencing, several types
of the so called omics data and image acquisition, just to name a
few. The analysis of the datasets that produces and its integration
call for new algorithms and approaches from fields such as
Databases, Statistics, Data Mining, Machine Learning, Optimization,
Computer Science and Artificial Intelligence. Within this scenario
of increasing data availability, Systems Biology has also been
emerging as an alternative to the reductionist view that dominated
biological research in the last decades. Indeed, 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'11 hopes to contribute to this effort promoting this fruitful
interaction. PACBB'11 technical program included 50 papers from a
submission pool of 78 papers spanning many different sub-fields in
Bioinformatics and Computational Biology. Therefore, the conference
will certainly have promoted the interaction of scientists from
diverse research groups and with a distinct background (computer
scientists, mathematicians, biologists). The scientific content
will certainly be challenging and will promote the improvement of
the work that is being developed by each of the participants.
The fields of Bioinformatics and Computational Biology have been
growing steadily over the last few years boosted by an increasing
need for computational techniques that can efficiently handle the
huge amounts of data produced by the new experimental techniques in
Biology. This calls for new algorithms and - proaches from fields
such as Data Integration, Statistics, Data Mining, Machine
Learning, Optimization, Computer Science and Artificial
Intelligence. Also, new global approaches, such as Systems Biology,
have been emerging replacing the reductionist view that dominated
biological research in the last d- ades. Indeed, Biology is more
and more a science of information needing tools from the
information technology field. The interaction of researchers from
diff- ent scientific fields is, more than ever, of foremost
importance and we hope this event will contribute to this effort.
IWPACBB'10 technical program included a total of 30 papers (26 long
papers and 4 short papers) spanning many different sub-fields in
Bioinformatics and Computational Biology. Therefore, the technical
program of the conference will certainly be diverse, challenging
and will promote the interaction among computer scientists,
mathematicians, biologists and other researchers. We would like to
thank all the contributing authors, as well as the members of the
Program Committee and the Organizing Committee for their hard and
highly valuable work. Their work has helped to contribute to the
success of the IWAPCBB'10 event. IWPACBB'10 wouldn't exist without
your contribution.
The success of Bioinformatics in recent years has been prompted by
research in mole- lar biology and medicine in initiatives like the
human genome project. The volume and diversification of data has
increased so much that it is very hard if not impossible to analyze
it by human experts. The analysis of this growing body of data,
intensified by the development of a number of high-throughput
experimental techniques that are generating the so called 'omics'
data, has prompted for new computational methods. New global
approaches, such as Systems Biology, have been emerging replacing
the reductionist view that dominated biology research in the last
decades, requiring the coordinated efforts of biological
researchers with those related to data analysis, mathematical
modelling and computer science. Computational methods have been
helping in tasks related to knowledge discovery, modelling and
optimization tasks. This workshop brings the opportunity to discuss
applications of Bioinformatics and Computational Biology exploring
the interactions between computer scientists, bio- gists and other
scientific researchers. The IWPACBB technical program includes 29
papers (23 long papers and 6 short papers) selected from a
submission pool of 51 papers, from 9 different countries. We thank
the excellent work of the local organization members and also from
the members of the Program Committee for their excellent reviewing
work. October 2008 Juan M. Corchado Juan F. De Paz Miguel P. Rocha
Florentino Fernandez Riverola Organization"
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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