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Lncident: A Tool for Rapid Identification of Long Noncoding RNAs Utilizing Sequence Intrinsic Composition and Open Reading Frame Information
المؤلفون المشاركون
Du, Wei
Liang, Yanchun
Han, Siyu
Li, Ying
المصدر
International Journal of Genomics
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-12-27
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
More and more studies have demonstrated that long noncoding RNAs (lncRNAs) play critical roles in diversity of biological process and are also associated with various types of disease.
How to rapidly identify lncRNAs and messenger RNA is the fundamental step to uncover the function of lncRNAs identification.
Here, we present a novel method for rapid identification of lncRNAs utilizing sequence intrinsic composition features and open reading frame information based on support vector machine model, named as Lncident (LncRNAs identification).
The 10-fold cross-validation and ROC curve are used to evaluate the performance of Lncident.
The main advantage of Lncident is high speed without the loss of accuracy.
Compared with the exiting popular tools, Lncident outperforms Coding-Potential Calculator, Coding-Potential Assessment Tool, Coding-Noncoding Index, and PLEK.
Lncident is also much faster than Coding-Potential Calculator and Coding-Noncoding Index.
Lncident presents an outstanding performance on microorganism, which offers a great application prospect to the analysis of microorganism.
In addition, Lncident can be trained by users’ own collected data.
Furthermore, R package and web server are simultaneously developed in order to maximize the convenience for the users.
The R package “Lncident” can be easily installed on multiple operating system platforms, as long as R is supported.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Han, Siyu& Liang, Yanchun& Li, Ying& Du, Wei. 2016. Lncident: A Tool for Rapid Identification of Long Noncoding RNAs Utilizing Sequence Intrinsic Composition and Open Reading Frame Information. International Journal of Genomics،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1106191
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Han, Siyu…[et al.]. Lncident: A Tool for Rapid Identification of Long Noncoding RNAs Utilizing Sequence Intrinsic Composition and Open Reading Frame Information. International Journal of Genomics No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1106191
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Han, Siyu& Liang, Yanchun& Li, Ying& Du, Wei. Lncident: A Tool for Rapid Identification of Long Noncoding RNAs Utilizing Sequence Intrinsic Composition and Open Reading Frame Information. International Journal of Genomics. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1106191
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1106191
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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