کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10344979 | 698123 | 2013 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
GREMET: An integrative tool for the prediction of mutation effects on gene regulation
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
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چکیده انگلیسی
The identification of thousands of mutations yearly has put new challenges to researchers who are interested in fast and effective annotation as well as the prediction of potential implications to the gene regulation mechanisms. This work presents an integrative tool, called GREMET, for the prediction of alterations in gene splicing regulation inferred by mutations of the human genome. GREMET supports the characterization of mutations either single-point or indels with respect to their effect on the splicing potential of the neighboring sequences and the binding strength of auxiliary cis-acting splicing enhancers. In addition, GREMET identifies possible consequences of mutations on the DNA methylation through the disruption or creation of CpG sequences. Besides locus-specific mutations, GREMET performs the analyses on newly identified mutations and provides an easy-to-use Web interface helping researchers to save time in routine mutation analyses. GREMET is freely accessible at: http://kedip.med.auth.gr/biotools/gremet/.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Methods and Programs in Biomedicine - Volume 111, Issue 1, July 2013, Pages 214-219
Journal: Computer Methods and Programs in Biomedicine - Volume 111, Issue 1, July 2013, Pages 214-219
نویسندگان
Polykarpos Athanasiadis, Andigoni Malousi, Sofia Kouidou, Nicos Maglaveras,