Introns (intra-genic) are non-coding regions of several eukaryotic genes. However, their role in regulation of transcription, embryonic development, stimulate gene (HEG) is apparent in recent years. Thus current research focuses on mutation in introns and their influence in causing various diseases. Though many available intron databases like YIDB, IDB, ExInt, GISSD, FUGOID, etc. discusses on various aspects of introns but none of them have classified the introns where identification of start intron is found to be important which mainly regulates the various activities of protein at gene level. This lead to an idea for development of "Intdb"; a database meant for classifying introns as start, middle and stop on the basis of position of specific consensus site. Information provided in IntDb is useful for gene prediction, determination of splicing sites and identification of diseases. In addition, the main focus is on violation of consensus rule and frequency of other deviations observed in classified introns. Further, GC content, length variations according to the biased residues and occurrence of consensus pattern to discover potential role of introns is also emphasized in IntDb.
AVAILABILITY: The database is available for free at http://introndb.bicpu.edu.in/
