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AC2: An Efficient Protein Sequence Compression Tool Using Artificial Neural Networks and Cache-Hash Models

Milton Silva, Diogo Pratas, Armando J Pinho
2021 Entropy  
For both applications, data compression is a straightforward solution. However, in the literature, the number of specific protein sequence compressors is relatively low.  ...  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  ...  to multiple protein sequences of the SARS-CoV-2.  ... 
doi:10.3390/e23050530 pmid:33925812 fatcat:c3h4jovpujhtrowhkzcj7432qu

CHAPAO: Likelihood and hierarchical reference-based representation of biomolecular sequences and applications to compressing multiple sequence alignments

Md Ashiqur Rahman, Abdullah Aman Tutul, Sifat Muhammad Abdullah, Md Shamsuzzoha Bayzid
2022
We present a new lossless compression method CHAPAO (COmpressing Alignments using Hierarchical and Probabilistic Approach), which is especially designed for multiple sequence alignments (MSAs) of biomolecular  ...  for FASTA files.  ...  Let M be a multiple sequence alignment with n sequences.  ... 
doi:10.1371/journal.pone.0265360 pmid:35436292 pmcid:PMC9015123 fatcat:3sd3z6eo2fddvl4hiwb76uspda

Experimental and Numerical Simulation of Combined Enhanced Oil Recovery with In Situ Upgrading in a Naturally Fractured Reservoir [article]

Silvia María Chávez Morales, University Of Calgary, University Of Calgary, Pedro Pereira Almao, Brij Maini
2016
The purpose of this research work is to show laboratory experiments conducted at 1500 psi and 350 C, experimentally simulating a reservoir located in the Gulf of the Mexico.  ...  The present study was focused in oil matrix extraction and in situ oil upgrading from a naturally fractured reservoir of heavy oil as a result of a hot fluid injection with nano catalyst.  ...  expansion (Comsa V., Mahaysen N., 1990) .  ... 
doi:10.11575/prism/26053 fatcat:pibe4awwlnbntc52lxkl4mhiwm