Integrating RNA-seq and ChIP-seq data to characterize long non-coding RNAs in Drosophila melanogaster.

ABSTRACT:

Background

Recent advances in sequencing technology have opened a new era in RNA studies. Novel types of RNAs such as long non-coding RNAs (lncRNAs) have been discovered by transcriptomic sequencing and some lncRNAs have been found to play essential roles in biological processes. However, only limited information is available for lncRNAs in Drosophila melanogaster, an important model organism. Therefore, the characterization of lncRNAs and identification of new lncRNAs in D. melanogaster is an important area of research. Moreover, there is an increasing interest in the use of ChIP-seq data (H3K4me3, H3K36me3 and Pol II) to detect signatures of active transcription for reported lncRNAs.

Results

We have developed a computational approach to identify new lncRNAs from two tissue

SUBMITTER: Chen MJ 

PROVIDER: S-EPMC4787191 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature