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原文連結
論文資訊
- 類型：已發表論文
- 日期：2016-10-01
摘要
Mitochondrial 基因組 sequences are available in large number and new sequences become published nowadays with increasing pace. Fast, automatic, consistent, and high quality annotations are a prerequisite for downstream analyses. Therefore, we present an automated pipeline for fast de novo annotation of mitochondrial 蛋白質-coding genes. The annotation is based on enhanced phylogeny-aware hidden 馬可夫 models (HMMs). The pipeline builds taxon-specific enhanced multiple sequence alignments (MSA) of already annotated sequences and corresponding HMMs using an approximation of the phylogeny. The MSAs are enhanced by fixing unannotated frameshifts, purging of wrong sequences, and removal of non-conserved columns from both ends. A comparison with reference annotations highlights the high quality of the re
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