MultiRankSeq : Multiperspective Approach for RNAseq Differential Expression Analysis and Quality Control

المؤلفون المشاركون

Shyr, Yu
Sheng, Quanhu
Guo, Yan
Zhao, Shilin
Ye, Fei

المصدر

BioMed Research International

العدد

المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-8، 8ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2014-05-27

دولة النشر

مصر

عدد الصفحات

8

التخصصات الرئيسية

الطب البشري

الملخص EN

Background.

After a decade of microarray technology dominating the field of high-throughput gene expression profiling, the introduction of RNAseq has revolutionized gene expression research.

While RNAseq provides more abundant information than microarray, its analysis has proved considerably more complicated.

To date, no consensus has been reached on the best approach for RNAseq-based differential expression analysis.

Not surprisingly, different studies have drawn different conclusions as to the best approach to identify differentially expressed genes based upon their own criteria and scenarios considered.

Furthermore, the lack of effective quality control may lead to misleading results interpretation and erroneous conclusions.

To solve these aforementioned problems, we propose a simple yet safe and practical rank-sum approach for RNAseq-based differential gene expression analysis named MultiRankSeq.

MultiRankSeq first performs quality control assessment.

For data meeting the quality control criteria, MultiRankSeq compares the study groups using several of the most commonly applied analytical methods and combines their results to generate a new rank-sum interpretation.

MultiRankSeq provides a unique analysis approach to RNAseq differential expression analysis.

MultiRankSeq is written in R, and it is easily applicable.

Detailed graphical and tabular analysis reports can be generated with a single command line.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Guo, Yan& Zhao, Shilin& Ye, Fei& Sheng, Quanhu& Shyr, Yu. 2014. MultiRankSeq : Multiperspective Approach for RNAseq Differential Expression Analysis and Quality Control. BioMed Research International،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-457159

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Guo, Yan…[et al.]. MultiRankSeq : Multiperspective Approach for RNAseq Differential Expression Analysis and Quality Control. BioMed Research International No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-457159

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Guo, Yan& Zhao, Shilin& Ye, Fei& Sheng, Quanhu& Shyr, Yu. MultiRankSeq : Multiperspective Approach for RNAseq Differential Expression Analysis and Quality Control. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-457159

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-457159