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==Sequence compression== The compression of amino acid sequences is a comparatively challenging task. The existing specialized amino acid sequence compressors are low compared with that of DNA sequence compressors, mainly because of the characteristics of the data. For example, modeling inversions is harder because of the reverse information loss (from amino acids to DNA sequence). The current lossless data compressor that provides higher compression is AC2.<ref name="AC2">{{cite journal |author=Silva M, Pratas D, Pinho AJ|title=AC2: An Efficient Protein Sequence Compression Tool Using Artificial Neural Networks and Cache-Hash Models|journal=Entropy|volume=23 |pages=530 |date=April 2021|issue=5 |doi=10.3390/e23050530|pmid=33925812 | pmc=8146440|bibcode=2021Entrp..23..530S |doi-access=free}}</ref> AC2 mixes various context models using Neural Networks and encodes the data using arithmetic encoding.
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