|
Showing 1 - 2 of
2 matches in All Departments
High Performance Computational Methods for Biological Sequence
Analysis presents biological sequence analysis using an
interdisciplinary approach that integrates biological, mathematical
and computational concepts. These concepts are presented so that
computer scientists and biomedical scientists can obtain the
necessary background for developing better algorithms and applying
parallel computational methods. This book will enable both groups
to develop the depth of knowledge needed to work in this
interdisciplinary field. This work focuses on high performance
computational approaches that are used to perform computationally
intensive biological sequence analysis tasks: pairwise sequence
comparison, multiple sequence alignment, and sequence similarity
searching in large databases. These computational methods are
becoming increasingly important to the molecular biology community
allowing researchers to explore the increasingly large amounts of
sequence data generated by the Human Genome Project and other
related biological projects. The approaches presented by the
authors are state-of-the-art and show how to reduce analysis times
significantly, sometimes from days to minutes. High Performance
Computational Methods for Biological Sequence Analysis is
tremendously important to biomedical science students and
researchers who are interested in applying sequence analyses to
their studies, and to computational science students and
researchers who are interested in applying new computational
approaches to biological sequence analyses.
High Performance Computational Methods for Biological Sequence
Analysis presents biological sequence analysis using an
interdisciplinary approach that integrates biological, mathematical
and computational concepts. These concepts are presented so that
computer scientists and biomedical scientists can obtain the
necessary background for developing better algorithms and applying
parallel computational methods. This book will enable both groups
to develop the depth of knowledge needed to work in this
interdisciplinary field. This work focuses on high performance
computational approaches that are used to perform computationally
intensive biological sequence analysis tasks: pairwise sequence
comparison, multiple sequence alignment, and sequence similarity
searching in large databases. These computational methods are
becoming increasingly important to the molecular biology community
allowing researchers to explore the increasingly large amounts of
sequence data generated by the Human Genome Project and other
related biological projects. The approaches presented by the
authors are state-of-the-art and show how to reduce analysis times
significantly, sometimes from days to minutes. High Performance
Computational Methods for Biological Sequence Analysis is
tremendously important to biomedical science students and
researchers who are interested in applying sequence analyses to
their studies, and to computational science students and
researchers who are interested in applying new computational
approaches to biological sequence analyses.
|
You may like...
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
Tenet
John David Washington, Robert Pattinson, …
DVD
R53
Discovery Miles 530
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.