TwinCons: Conservation score for uncovering deep sequence similarity and divergence

We have developed the program TwinCons, to detect noisy signals of deep ancestry of proteins or nucleic acids. As input, the program uses a composite alignment containing pre-defined groups, and mathematically determines a 'cost' of transforming one group to the other at each position of t...

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Veröffentlicht in:	PLoS computational biology 2021-10, Vol.17 (10), p.e1009541-e1009541
Hauptverfasser:	Penev, Petar I, Alvarez-Carreño, Claudia, Smith, Eric, Petrov, Anton S, Williams, Loren Dean
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Alignment Archaeal Proteins - chemistry Archaeal Proteins - genetics Bacterial Proteins - chemistry Bacterial Proteins - genetics Biology and Life Sciences Coevolution Conservation Conserved sequence Conserved Sequence - genetics Deep Learning Divergence Divergent evolution Evolution, Molecular Genetic research Group theory Metagenomics Methods Molecular evolution Nucleic acids Permutations Phylogenetics Proteins Research and Analysis Methods Ribosomal proteins Ribosomal RNA RNA polymerase RNA sequencing RNA, Ribosomal - genetics rRNA Segments Sequence Alignment - methods Sequence Analysis, Protein - methods Signatures Structural analysis Structure Transcription
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