Stratification of Gene Coexpression Patterns and GO Function Mining for a RNA-Seq Data Series
المؤلفون المشاركون
Wu, Longyue
Fei, Yiping
Xu, Huafeng
Liu, Xiuhua
Ye, Xiangmei
Li, Xia
Zhao, Hui
Gong, Yonghui
Yang, Dongguang
Cao, Fenglin
Zhou, Jin
المصدر
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-05-19
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
RNA-Seq is emerging as an increasingly important tool in biological research, and it provides the most direct evidence of the relationship between the physiological state and molecular changes in cells.
A large amount of RNA-Seq data across diverse experimental conditions have been generated and deposited in public databases.
However, most developed approaches for coexpression analyses focus on the coexpression pattern mining of the transcriptome, thereby ignoring the magnitude of gene differences in one pattern.
Furthermore, the functional relationships of genes in one pattern, and notably among patterns, were not always recognized.
In this study, we developed an integrated strategy to identify differential coexpression patterns of genes and probed the functional mechanisms of the modules.
Two real datasets were used to validate the method and allow comparisons with other methods.
One of the datasets was selected to illustrate the flow of a typical analysis.
In summary, we present an approach to robustly detect coexpression patterns in transcriptomes and to stratify patterns according to their relative differences.
Furthermore, a global relationship between patterns and biological functions was constructed.
In addition, a freely accessible web toolkit “coexpression pattern mining and GO functional analysis” (COGO) was developed.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhao, Hui& Cao, Fenglin& Gong, Yonghui& Xu, Huafeng& Fei, Yiping& Wu, Longyue…[et al.]. 2014. Stratification of Gene Coexpression Patterns and GO Function Mining for a RNA-Seq Data Series. BioMed Research International،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-512304
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhao, Hui…[et al.]. Stratification of Gene Coexpression Patterns and GO Function Mining for a RNA-Seq Data Series. BioMed Research International No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-512304
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhao, Hui& Cao, Fenglin& Gong, Yonghui& Xu, Huafeng& Fei, Yiping& Wu, Longyue…[et al.]. Stratification of Gene Coexpression Patterns and GO Function Mining for a RNA-Seq Data Series. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-512304
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-512304
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر