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Enhancing Epitranscriptome Module Detection from m6A-Seq Data Using Threshold-Based Measurement Weighting Strategy
المؤلفون المشاركون
Meng, Jia
Wei, Zhen
Chen, Kunqi
Liu, Hui
Magalhães, João Pedro de
Rong, Rong
Lu, Zhiliang
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-06-14
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
To date, with well over 100 different types of RNA modifications associated with various molecular functions identified on diverse types of RNA molecules, the epitranscriptome has emerged to be an important layer for gene expression regulation.
It is of crucial importance and increasing interest to understand how the epitranscriptome is regulated to facilitate different biological functions from a global perspective, which may be carried forward by finding biologically meaningful epitranscriptome modules that respond to upstream epitranscriptome regulators and lead to downstream biological functions; however, due to the intrinsic properties of RNA molecules, RNA modifications, and relevant sequencing technique, the epitranscriptome profiled from high-throughput sequencing approaches often suffers from various artifacts, jeopardizing the effectiveness of epitranscriptome modules identification when using conventional approaches.
To solve this problem, we developed a convenient measurement weighting strategy, which can largely tolerate the artifacts of high-throughput sequencing data.
We demonstrated on real data that the proposed measurement weighting strategy indeed brings improved performance in epitranscriptome module discovery in terms of both module accuracy and biological significance.
Although the new approach is integrated with Euclidean distance measurement in a hierarchical clustering scenario, it has great potential to be extended to other distance measurements and algorithms as well for addressing various tasks in epitranscriptome analysis.
Additionally, we show for the first time with rigorous statistical analysis that the epitranscriptome modules are biologically meaningful with different GO functions enriched, which established the functional basis of epitranscriptome modules, fulfilled a key prerequisite for functional characterization, and deciphered the epitranscriptome and its regulation.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Chen, Kunqi& Wei, Zhen& Liu, Hui& Magalhães, João Pedro de& Rong, Rong& Lu, Zhiliang…[et al.]. 2018. Enhancing Epitranscriptome Module Detection from m6A-Seq Data Using Threshold-Based Measurement Weighting Strategy. BioMed Research International،Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1124876
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Chen, Kunqi…[et al.]. Enhancing Epitranscriptome Module Detection from m6A-Seq Data Using Threshold-Based Measurement Weighting Strategy. BioMed Research International No. 2018 (2018), pp.1-15.
https://search.emarefa.net/detail/BIM-1124876
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Chen, Kunqi& Wei, Zhen& Liu, Hui& Magalhães, João Pedro de& Rong, Rong& Lu, Zhiliang…[et al.]. Enhancing Epitranscriptome Module Detection from m6A-Seq Data Using Threshold-Based Measurement Weighting Strategy. BioMed Research International. 2018. Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1124876
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1124876
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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