title: CDS annotation in full-length cDNA sequence.
abstract: The identification of coding sequences (CDS) is an important step in the functional annotation of genes. CDS prediction for mammalian genes from genomic sequence is complicated by the vast abundance of intergenic sequence in the genome, and provides little information about how different parts of potential CDS regions are expressed. In contrast, mammalian gene CDS prediction from cDNA sequence offers obvious advantages, yet encounters a different set of complexities when performed on high-throughput cDNA (HTC) sequences, such as the set of 60,770 cDNAs isolated from full-length enriched libraries of the FANTOM2 project. We developed a CDS annotation strategy that uses a variety of different CDS prediction programs to annotate the CDS regions of FANTOM2 cDNAs. These include rsCDS, which uses sequence similarity to known proteins; ProCrest; Longest-ORF and Truncated-ORF, which are ab initio based predictors; and finally, DECODER and NCBI CDS predictor, which use a combination of both principles. Aided by graphical displays of these CDS prediction results in the context of other sequence similarity results for each cDNA, FANTOM2 CDS inspection by curators and follow-up quality control procedures resulted in high quality CDS predictions for a total of 14,345 FANTOM2 clones.
authors.affiliation: Laboratory for Genome Exploration Research Group, RIKEN Genomic Sciences Center (GSC), RIKEN Yokohama Institute, Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan.
authors.forename: Masaaki
authors.initials: M
authors.lastname: Furuno
authors.forename: Takeya
authors.initials: T
authors.lastname: Kasukawa
authors.forename: Rintaro
authors.initials: R
authors.lastname: Saito
authors.forename: Jun
authors.initials: J
authors.lastname: Adachi
authors.forename: Harukazu
authors.initials: H
authors.lastname: Suzuki
authors.forename: Richard
authors.initials: R
authors.lastname: Baldarelli
authors.forename: Yoshihide
authors.initials: Y
authors.lastname: Hayashizaki
authors.forename: Yasushi
authors.initials: Y
authors.lastname: Okazaki
mesh_terms: D000818:Animals; D001483:Base Sequence; D003062:Codon / Q000032:analysis*; D019295:Computational Biology / Q000379:methods / Q000706:statistics & numerical data; D018076:DNA, Complementary / Q000032:analysis*; D030541:Databases, Genetic / Q000706:statistics & numerical data; D005544:Forecasting; D016678:Genome; D006801:Humans; D051379:Mice; D016366:Open Reading Frames / Q000235:genetics; D014176:Protein Biosynthesis / Q000235:genetics; D011506:Proteins / Q000737:chemistry / Q000235:genetics / Q000502:physiology*; D012326:RNA Splicing / Q000235:genetics; D012107:Research Design; D017279:Selenocysteine / Q000235:genetics; D012985:Software Design
chemical_list: D003062:Codon; D018076:DNA, Complementary; D011506:Proteins; D017279:Selenocysteine