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Macaca mulatta

ABSTRACT: Ab initio identification of transcription start sites (TSSs) in the Rhesus macaque genome by histone modification and RNA-Seq

PROVIDER: PRJNA132563 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR068550.fastq.gz	Fastqsanger.gz
	SRR068551.fastq.gz	Fastqsanger.gz
	SRR094948_1.fastq.gz	Fastqsanger.gz
	SRR094948_2.fastq.gz	Fastqsanger.gz

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Ab initio identification of transcription start sites (TSSs) in the Rhesus macaque genome by histone modification and RNA-Seq

2010-10-19 | GSE24538 | GEO

Ab initio identification of transcription start sites (TSSs) in the Rhesus macaque genome by histone modification and RNA-Seq

Project description:We addressed the lack of experimentally supported transcript annotations in the Rhesus macaque genome by ab initio identification of the transcription start sites (TSSs). We took advantage of histone H3 lysine 4 trimethylation (H3K4me3)'s ability to mark TSSs and the recently developed ChIP-Seq and RNA-Seq technology to survey the transcript structures in the macaque brain. We then integrated the two types of our newly generated data with genomic sequence features and extended a TSS prediction algorithm to ab initio predict and verify 16,833 of previously electronically annotated transcription start sites at 500 bp resolution and predicted ~10,000 new TSSs. We took advantage of histone H3 lysine 4 trimethylation (H3K4me3)M-bM-^@M-^Ys ability to mark transcription start sites (TSSs) and the recently developed ChIP-Seq and RNA-Seq technology to survey the transcript structures. By integrating the ChIP-seq, RNA-seq and small RNA-seq data (previously uploaded to GEO as GSM450615 by our collaborator) with genomic sequence features and extending and improving a state-of-the-art TSS prediction algorithm, we ab initio predicted and verified previously electronically annotated TSSs at a high resolution, and predicted some novel TSSs.

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