Hiv sequence database

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#1 Hiv sequence database

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Hiv sequence database

The amount of HIV-1 sequence data generated Speed skater playboy around sequences, of which more than are from the V3 region of the viral envelope presents a challenge for anyone working on the analysis of these data. A major problem is obtaining the region of interest from the stored sequences, which often contain Hiv sequence database are not limited to that region. In addition, multiple alignment programs generally cannot deal with the large numbers of sequences that are available for many HIV-1 regions. We set out to provide our users with a tool that will retrieve and create an initial alignment of the HIV sequences that are available for a given genomic region. To create a multiple Hiv sequence database alignment, gaps were inserted into the sequences during retrieval, so that they Hiv sequence database aligned to one another. Oxford University Press is Hiv sequence database department of Hiv sequence database University of Oxford. It furthers the University's objective of excellence in research, scholarship, and education by publishing worldwide. Sign In or Create an Account. Close mobile search navigation Article navigation. BioinformaticsVolume 17, Issue 5, 1 MayPages —, https: Add comment Close comment form modal. I agree to the terms and conditions. You Neslte hiv aids mothers accept the terms and Hiv sequence database. You have entered an invalid code. Thank you for submitting a comment on this article. Your comment will be reviewed and published at the journal's discretion. Please check for further notifications by email. Email alerts New issue alert. Receive exclusive offers and updates from Oxford Academic. Related articles in Web of Science Google Scholar. Citing articles via Web of Science Comparative assessment of different familial aggregation methods in the context of large and unstructured pedigrees. Application for non-redundant storage of High Throughput Sequencing data.

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The types of data and services these two databases offer, the tools they provide, and the way they are set up and operated are described in detail. The extraordinary variability of the virus has been one of the many major obstacles for vaccine and drug development. Expensive and complicated regimens consisting of combinations of three or more drugs are essential for effective treatment, as drug resistant variants rapidly render single drugs useless. Candidate vaccines that induce broadly cross-reactive immunogenic responses have yet to be developed, and an effective vaccine is not expected for at least another five to seven years. Two databases have been created to help researchers cope with the enormous amount of data generated by studies of HIV variation, which not only aid drug and vaccine development but also provide insight into the basic biology, immunology and evolution of other pathogens. The Los Alamos HIV Sequence Database provides easy access to all published sequences and their accompanying annotations and offers a multitude of tools and programs for their analysis. The Stanford Protease and RT Database allows users to screen their own sequences for resistance-conferring mutations and compare them to stored sequences. Both databases are described in greater detail in this paper. It became clear in the early s that HIV was an unprecedented pathogen with great potential for variation. At that time Dr. Gerald Myers conceived of an easily accessible centralized data-base to store HIV sequence data. In its earliest form, the database was simply a yearly compendium of HIV sequence data containing entire Genbank entries. The goal has been to format available data in such a way that new results could be readily integrated with those from earlier studies. In the last five years an extensive, interactive website has been developed that provides re-searchers with flexible retrieval...

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Hiv sequence database


AIDS Rev. Jan-Mar;5(1) HIV sequence databases. Kuiken C(1), Korber B, Shafer RW. Author information: (1)Los Alamos National Laboratory, Los. vzhurnale.info NAR Molecular Biology Database Collection entry number vzhurnale.info Olexiouk, Volodimir; Van Criekinge, Wim; Menschaert, Gerben. A curated database containing nearly all published HIV RT and protease sequences: a resource designed for researchers studying evolutionary and.

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