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原文連結
論文資訊
- 類型：已發表論文
- 日期：2021-10-29
摘要
We have developed the program TwinCons, to detect noisy signals of deep ancestry of 蛋白質s or nucleic acids. As input, the program uses a composite alignment containing pre-defined groups, and 數學ly determines a ‘cost’ of transforming one group to the other at each position of the alignment. The output distinguishes conserved, variable and signature positions. A signature is conserved within groups but differs between groups. The method automatically detects continuous characteristic stretches (segments) within alignments. TwinCons provides a convenient representation of conserved, variable and signature positions as a single score, enabling the structural mapping and visualization of these characteristics. Structure is more conserved than sequence. TwinCons highlights alternative sequences o
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