Gene annotation method and system

Abstract

The invention discloses a gene annotation method and a gene annotation system. The method comprises the following steps of: obtaining the positions of latent genes on a target genome by a gene prediction method based on sequence characteristics and a statistical model; comparing a known gene sequence and an interspecies homologous conserved sequence with the target genome by a sequence similarity-based gene annotation method and marking the positions of similar genes on the target genome; and integrating and screening prediction results by a weighted voting method according to the positions of the latent genes and the similar genes on the target genome to obtain a comprehensive gene prediction result and corresponding coding sequences. The multi-evidence combined gene annotation method and the system effectively integrate the advantages of the conventional gene annotation method. Transcriptome sequencing data derived from a target species is further utilized, so that the accuracy of agene structure can be ensured and the annotation of the alternative splicing form of the gene can be obtained to the greatest extent at the same time.

Description

technical field

[0001] The invention relates to the technical field of biological information, in particular to a gene annotation method and system. Background technique

[0002] Gene annotation, that is, marking the position and composition of genes on the genome sequence, is a necessary step and a basic premise of genomics research. The quality of annotation results directly affects the validity and accuracy of subsequent research. With the continuous development of genomics and bioinformatics, a variety of gene structure annotation methods and software are emerging. Generally, it can be divided into de novo methods based on sequence intrinsic characteristics and statistical models and methods based on sequence similarity. However, the single-algorithm gene annotation tool at this stage still has a huge technical bottleneck in the sensitivity and accuracy of eukaryotic gene structure prediction, especially the alternative splicing form, which requires a lot of manual ins...

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