Unraveling the complexity of the human transcriptome: analysis and integration of high-throughput data

LE PERA, Loredana

Publication date

February 2013

Abstract

BACKGROUND: An undoubted outcome of the last decade genomics research is the evidence of our lack of knowledge about the complexity of the human transcriptome. Researchers found, at first, that there were far fewer genes than expected (<25,000 genes coding for proteins), only to discover later that there were far more non protein-coding transcripts than expected (~30,000). Surprisingly, the transcriptome diversity is also due to a wider occurrence of alternative splicing than previously suspected. It is now clear that about 95% of the human multi-exon genes undergo alternative splicing events. At the same time, a number of studies from others and from our group have shown that a significant fraction of all generated transcripts, or isoforms...

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Unraveling the complexity of the human transcriptome: analysis and integration of high-throughput data

Abstract

Extracted data

Unraveling the complexity of the human transcriptome: analysis and integration of high-throughput data

Abstract

Extracted data

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