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Computational and Evolutionary Analysis of HIV Molecular Sequences
is for all researchers interested in HIV research, even those who
only have a nodding acquaintance with computational biology (or
those who are familiar with some, but not all, aspects of the
field). HIV research is unusual in that it brings together
scientists from a wide range of disciplines: clinicians,
pathologists, immunologists, epidemiologists, virologists,
computational biologists, structural biologists, evolutionary
biologists, statisticians and mathematicians. This book seeks to
bridge the gap between these groups, in both subject matter and
terminology. Focused largely on HIV genetic variation,
Computational and Evolutionary Analysis of HIV Molecular Sequences
covers such issues as sampling and processing sequences, population
genetics, phylogenetics and drug targets.
Computational and Evolutionary Analysis of HIV Molecular Sequences
is for all researchers interested in HIV research, even those who
only have a nodding acquaintance with computational biology (or
those who are familiar with some, but not all, aspects of the
field). HIV research is unusual in that it brings together
scientists from a wide range of disciplines: clinicians,
pathologists, immunologists, epidemiologists, virologists,
computational biologists, structural biologists, evolutionary
biologists, statisticians and mathematicians. This book seeks to
bridge the gap between these groups, in both subject matter and
terminology. Focused largely on HIV genetic variation,
Computational and Evolutionary Analysis of HIV Molecular Sequences
covers such issues as sampling and processing sequences, population
genetics, phylogenetics and drug targets.
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