The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Advanced Datamining Using RNAseq Data
|
Author(s): Yan Guo (Vanderbilt University, USA), Shilin Zhao (Vanderbilt University, USA), Margot Bjoring (Vanderbilt University, USA)and Leng Han (MD Anderson Cancer Center, USA)
Copyright: 2015
Pages: 20
Source title:
Big Data Analytics in Bioinformatics and Healthcare
Source Author(s)/Editor(s): Baoying Wang (Waynesburg University, USA), Ruowang Li (Pennsylvania State University, USA)and William Perrizo (North Dakota State University, USA)
DOI: 10.4018/978-1-4666-6611-5.ch001
Purchase
|
Abstract
In recent years, RNA sequencing (RNAseq) technology has experienced a rapid rise in popularity. Often seen as a competitor of and the ultimate successor to microarray technology given its more accurate and quantitative gene expression measurement, RNAseq also offers a wealth of additional information that is often overlooked, and given the massive accumulation of RNAseq data available in public data repositories over the past few years, these data are ripe for discovery. Abundant opportunities exist for researchers to conduct in-depth, non-traditional analyses that take advantage of these secondary uses and for bioinformaticians to develop tools to make these data more accessible. This is discussed in this chapter.
Related Content
Linkon Chowdhury, Md Sarwar Kamal, Shamim H. Ripon, Sazia Parvin, Omar Khadeer Hussain, Amira Ashour, Bristy Roy Chowdhury.
© 2024.
20 pages.
|
Mousomi Roy.
© 2024.
21 pages.
|
Nassima Dif, Zakaria Elberrichi.
© 2024.
20 pages.
|
Pyingkodi Maran, Shanthi S., Thenmozhi K., Hemalatha D., Nanthini K..
© 2024.
16 pages.
|
Mohamed Nadjib Boufenara, Mahmoud Boufaida, Mohamed Lamine Berkane.
© 2024.
16 pages.
|
Meroua Daoudi, Souham Meshoul, Samia Boucherkha.
© 2024.
25 pages.
|
Zhongyu Lu, Qiang Xu, Murad Al-Rajab, Lamogha Chiazor.
© 2024.
56 pages.
|
|
|