GENCODE: producing a reference annotation for ENCODE

By J. Harrow, F. Denoeud, Adam Frankish, Alexandre Reymond, Chao-Kung Chen, Jacqueline Chrast, Julien Lagarde, J. Gilbert, R. Storey, D. Swarbreck and 5 more. Genome Biology, 2006

695 citations recorded by the source corpus.

BackgroundThe GENCODE consortium was formed to identify and map all protein-coding genes within the ENCODE regions. This was achieved by a combination of initial manual annotation by the HAVANA team, experimental validation by the GENCODE consortium and a refinement of the annotation based on these experimental results.ResultsThe GENCODE gene features are divided into eight different categories of which only the first two (known and novel coding sequence) are confidently predicted to be protein-coding genes. 5' rapid amplification of cDNA ends (RACE) and RT-PCR were used to experimentally verify the initial annotation. Of the 420 coding loci tested, 229 RACE products have been sequenced. They supported 5' extensions of 30 loci and new splice variants in 50 loci. In addition, 46 loci without evidence for a coding sequence were validated, consisting of 31 novel and 15 putative transcripts. We assessed the comprehensiveness of the GENCODE annotation by attempting to validate all the predicted exon boundaries outside the GENCODE annotation. Out of 1,215 tested in a subset of the ENCODE regions, 14 novel exon pairs were validated, only two of them in intergenic regions.ConclusionIn total, 487 loci, of which 434 are coding, have been annotated as part of the GENCODE reference set available from the UCSC browser. Comparison of GENCODE annotation with RefSeq and ENSEMBL show only 40% of GENCODE exons are contained within the two sets, which is a reflection of the high number of alternative splice forms with unique exons annotated. Over 50% of coding loci have been experimentally verified by 5' RACE for EGASP and the GENCODE collaboration is continuing to refine its annotation of 1% human genome with the aid of experimental validation.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/63209f51ce48cc7ab7b1a2362beaa63848a341b5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

  1. Steven L. Salzberg
  2. Manolis Kellis
  3. David Haussler
  4. Heng Li
  5. Mario Stanke
  6. W. James Kent
  7. Jason Ernst
  8. Cole Trapnell

Citations in the corpus