Abstract: A transcript mapping method according to an embodiment of the invention is described hereinafter and combines short tag based (SAGE and MPSS) efficiency with the accuracy of full-length cDNA (flcDNA) for comprehensive characterization of transcriptomes. This method is also referred to as Gene Identification Signature (GIS) analysis. In this method, the 5? and 3? ends of full-length cDNA clones are initially extracted into a ditag structure, with the ditag concatemers of the ditag being subsequently sequenced in an efficient manner, and finally mapped to the genome for defining the gene structure. As a GIS ditag represents the 5? and 3? ends of a transcript, it is more informative than SAGE and MPSS tags. Segment lengths between 5? and 3? tag pairs are obtainable including orientation, ordering and chromosome family for efficient transcript mapping and gene location identification.

Abstract: A transcript mapping method according to an embodiment of the invention is described hereinafter and combines short tag based (SAGE and MPSS) efficiency with the accuracy of full-length cDNA (flcDNA) for comprehensive characterization of transcriptomes. This method is also referred to as Gene Identification Signature (GIS) analysis. In this method, the 5? and 3? ends of full-length cDNA clones are initially extracted into a ditag structure, with the ditag concatemers of the ditag being subsequently sequenced in an efficient manner, and finally mapped to the genome for defining the gene structure. As a GIS ditag represents the 5? and 3? ends of a transcript, it is more informative than SAGE and MPSS tags. Segment lengths between 5? and 3? tag pairs are obtainable including orientation, ordering and chromosome family for efficient transcript mapping and gene location identification.

Abstract: A transcript mapping method according to an embodiment of the invention is described hereinafter and combines short tag based (SAGE and MPSS) efficiency with the accuracy of full-length cDNA (flcDNA) for comprehensive characterization of transcriptomes. This method is also referred to as Gene Identification Signature (GIS) analysis. In this method, 5? and 3? terminal tags are obtained from a transcript and the terminal tags are for identifying 5? and 3? sites located on a genome sequence. Further, occurring segments and thus feasible gene locations are identified along the genome sequence after the 5? and 3? sites are identified. A data structure is also generated for indexing the genome sequence so that the terminal tags can be mapped to the genome sequence.