A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
AC2: An Efficient Protein Sequence Compression Tool Using Artificial Neural Networks and Cache-Hash Models
2021
Entropy
Recently, the scientific community has witnessed a substantial increase in the generation of protein sequence data, triggering emergent challenges of increasing importance, namely efficient storage and improved data analysis. For both applications, data compression is a straightforward solution. However, in the literature, the number of specific protein sequence compressors is relatively low. Moreover, these specialized compressors marginally improve the compression ratio over the best
doi:10.3390/e23050530
pmid:33925812
fatcat:c3h4jovpujhtrowhkzcj7432qu