کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6140481 | 1594256 | 2013 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Metadata-driven comparative analysis tool for sequences (meta-CATS): An automated process for identifying significant sequence variations that correlate with virus attributes
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
ایمنی شناسی و میکروب شناسی
ویروس شناسی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
The Virus Pathogen Resource (ViPR; www.viprbrc.org) and Influenza Research Database (IRD; www.fludb.org) have developed a metadata-driven Comparative Analysis Tool for Sequences (meta-CATS), which performs statistical comparative analyses of nucleotide and amino acid sequence data to identify correlations between sequence variations and virus attributes (metadata). Meta-CATS guides users through: selecting a set of nucleotide or protein sequences; dividing them into multiple groups based on any associated metadata attribute (e.g. isolation location, host species); performing a statistical test at each aligned position; and identifying all residues that significantly differ between the groups. As proofs of concept, we have used meta-CATS to identify sequence biomarkers associated with dengue viruses isolated from different hemispheres, and to identify variations in the NS1 protein that are unique to each of the 4 dengue serotypes. Meta-CATS is made freely available to virology researchers to identify genotype-phenotype correlations for development of improved vaccines, diagnostics, and therapeutics.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Virology - Volume 447, Issues 1â2, December 2013, Pages 45-51
Journal: Virology - Volume 447, Issues 1â2, December 2013, Pages 45-51
نویسندگان
B.E. Pickett, M. Liu, E.L. Sadat, R.B. Squires, J.M. Noronha, S. He, W. Jen, S. Zaremba, Z. Gu, L. Zhou, C.N. Larsen, I. Bosch, L. Gehrke, M. McGee, E.B. Klem, R.H. Scheuermann,