Computational and Evolutionary Analysis of HIV Molecular - download pdf or read online

By Allen G. Rodrigo, Gerald H. Learn Jr.

ISBN-10: 0306469006

ISBN-13: 9780306469008

ISBN-10: 0792379942

ISBN-13: 9780792379942

Computational and Evolutionary research of HIV Molecular Sequences is for all researchers drawn to HIV study, even those that in basic terms have a nodding acquaintance with computational biology (or those who find themselves accustomed to a few, yet now not all, points of the field). HIV learn is rare in that it brings jointly scientists from quite a lot of disciplines: clinicians, pathologists, immunologists, epidemiologists, virologists, computational biologists, structural biologists, evolutionary biologists, statisticians and mathematicians. This booklet seeks to bridge the space among those teams, in either material and terminology. targeted mostly on HIV genetic edition, Computational and Evolutionary research of HIV MolecularSequences covers such concerns as sampling and processing sequences, inhabitants genetics, phylogenetics and drug targets.

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Download e-book for kindle: Computational and Evolutionary Analysis of HIV Molecular by Allen G. Rodrigo, Gerald H. Learn Jr.

Computational and Evolutionary research of HIV Molecular Sequences is for all researchers drawn to HIV learn, even those that merely have a nodding acquaintance with computational biology (or those people who are accustomed to a few, yet now not all, features of the field). HIV learn is uncommon in that it brings jointly scientists from quite a lot of disciplines: clinicians, pathologists, immunologists, epidemiologists, virologists, computational biologists, structural biologists, evolutionary biologists, statisticians and mathematicians.

Additional resources for Computational and Evolutionary Analysis of HIV Molecular Sequences

Example text

The conclusions drawn from bad data can be misleading, and can cause fundamental misconceptions in our understanding of HIV biology. Publications based on contaminated sequences have led to scattered erroneous reports regarding virtually all aspects of HIV biology that involve sequences: viral clearance, transmission patterns, rapid and slow progression, drug resistance, central nervous system tropism, immune escape, and variability in populations. Contamination can happen in anyone's laboratory, and is not a sign of Computational and Evolutionary Analyses of HIV Molecular Sequences 39 sloppy work.

1996. Accurate reconstruction of a known transmission history by phylogenetic tree analysis. Proc. Natl. Acad. Sci. USA. 20: 10864-10869. Learn, G. , Korber, B. T. , Hahn, B. , Wolinsky, S. M. and Mullins, J. I. 1996. Maintaining the integrity of human immunodeficiency virus databases. J. Virol. 70: 5720-5730. , Hsieh, C. , Dia, M. , Gueye, E. , M’boup, S. and Essex, M. Reduced rate of disease development after HIV-2 infection as compared to HIV1. Science 265: 1587-1590. , Puel, J. J. 1998. Molecular evidence for mother-to-child transmission of multiple variants by analysis of RNA and DNA sequences of human immunodeficiency virus type 1.

The reason subtype I is called a recombinant is that it is important that the nomenclature indicates that regions in this mosaic closely resemble another subtype, while other regions are very diverged. 6. THE ORIGIN OF SUBTYPES The question about the origin of the subtypes is closely related to that of the origin of HIV. It is clear that HIV has its roots in African primates. The origin of HIV-1 is appears to be different than that of HIV-2. , 1994). In the HIV-1 M group subtypes, no such evidence has been reported: they are not divided by any sequences from nonhuman prmates.

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Computational and Evolutionary Analysis of HIV Molecular Sequences by Allen G. Rodrigo, Gerald H. Learn Jr.


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