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A review on blockchain for DNA sequence: security issues, application in DNA classification, challenges and future trends
In biological science, the study of DNA sequences is considered an important factor
because it carries the genomic details that can be used by researchers and doctors for the …
because it carries the genomic details that can be used by researchers and doctors for the …
A hybrid algorithm for scheduling scientific workflows in cloud computing
Cloud computing has become the main source for executing scientific experiments. It is an
effective technique for distributing and processing tasks on virtual machines. Scientific …
effective technique for distributing and processing tasks on virtual machines. Scientific …
Sequence Compression Benchmark (SCB) database—A comprehensive evaluation of reference-free compressors for FASTA-formatted sequences
Background Nearly all molecular sequence databases currently use gzip for data
compression. Ongoing rapid accumulation of stored data calls for a more efficient …
compression. Ongoing rapid accumulation of stored data calls for a more efficient …
[HTML][HTML] BAQALC: Blockchain applied lossless efficient transmission of DNA sequencing data for next generation medical informatics
SJ Lee, GY Cho, F Ikeno, TR Lee - applied sciences, 2018 - mdpi.com
Due to the development of high-throughput DNA sequencing technology, genome-
sequencing costs have been significantly reduced, which has led to a number of …
sequencing costs have been significantly reduced, which has led to a number of …
EPMA: efficient pattern matching algorithm for DNA sequences
To solve, manage and analyze biological problems using computer technology is called
bioinformatics. With the emergent evolution in computing era, the volume of biological data …
bioinformatics. With the emergent evolution in computing era, the volume of biological data …
Frequent patterns mining in DNA sequence
N Deng, X Chen, D Li, C **ong - IEEE Access, 2019 - ieeexplore.ieee.org
As a common biological sequence, DNA sequences contain important information. The
discovery of frequent patterns in DNA sequences can help to study the evolution, function …
discovery of frequent patterns in DNA sequences can help to study the evolution, function …
SCA-NGS: Secure compression algorithm for next generation sequencing data using genetic operators and block sorting
Recent advancements in sequencing methods have led to significant increase in
sequencing data. Increase in sequencing data leads to research challenges such as …
sequencing data. Increase in sequencing data leads to research challenges such as …
[HTML][HTML] Knowledge-based framework for selection of genomic data compression algorithms
The development of new sequencing technologies has led to a significant increase in
biological data. The exponential increase in data has exceeded increases in computing …
biological data. The exponential increase in data has exceeded increases in computing …
Deep learning for integrated analysis of insulin resistance with multi-omics data
E Huang, S Kim, TJ Ahn - Journal of Personalized Medicine, 2021 - mdpi.com
Technological advances in next-generation sequencing (NGS) have made it possible to
uncover extensive and dynamic alterations in diverse molecular components and biological …
uncover extensive and dynamic alterations in diverse molecular components and biological …
Bioinformatics advancements for detecting epidemic disease using machine learning approaches
In the twentieth century, many researchers have started working on bioinformatics for
disease biomarker detection using genetic information, ie, DNA microarray dataset and RNA …
disease biomarker detection using genetic information, ie, DNA microarray dataset and RNA …