Bioinformatic Analysis of Next-Generation Sequencing Data to Identify WT1-Associated Differential Gene and Isoform Expression.

Ruthrothaselvi Bharathavikru, Stuart Aitken

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract

Differential gene expression analysis has been conventionally performed by microarray techniques; however with the recent advent of next-generation sequencing (NGS) approaches, it has become easier to analyze the coding as well as the noncoding components. Additionally, NGS data analysis also provides information regarding the expression changes of specific isoforms. There are several bioinformatics tools available to analyze NGS data but with different parameters. This chapter provides a comparative insight into these tools by utilizing NGS datasets available from Wt1 knockout and embryonic stem cell line model.
Original languageEnglish
Title of host publicationMethods Molecular Biology
PublisherSpringerLink
Pages211
Number of pages219
Publication statusPublished - 2016

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