A hybrid algorithm for scheduling scientific workflows in cloud computing

M Sardaraz, M Tahir - IEEE Access, 2019 - ieeexplore.ieee.org
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 …

Sequence Compression Benchmark (SCB) database—A comprehensive evaluation of reference-free compressors for FASTA-formatted sequences

K Kryukov, MT Ueda, S Nakagawa, T Imanishi - GigaScience, 2020 - academic.oup.com
Background Nearly all molecular sequence databases currently use gzip for data
compression. Ongoing rapid accumulation of stored data calls for a more efficient …

A review on blockchain for DNA sequence: security issues, application in DNA classification, challenges and future trends

G Mathur, A Pandey, S Goyal - Multimedia Tools and Applications, 2024 - Springer
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 …

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 …

EPMA: efficient pattern matching algorithm for DNA sequences

M Tahir, M Sardaraz, AA Ikram - Expert Systems with Applications, 2017 - Elsevier
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 …

SCA-NGS: Secure compression algorithm for next generation sequencing data using genetic operators and block sorting

M Sardaraz, M Tahir - Science Progress, 2021 - journals.sagepub.com
Recent advancements in sequencing methods have led to significant increase in
sequencing data. Increase in sequencing data leads to research challenges such as …

Knowledge-based framework for selection of genomic data compression algorithms

A Alourani, M Tahir, M Sardaraz, MS Khan - Applied Sciences, 2022 - mdpi.com
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 …

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 …

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 …

Performance comparison of sequential and parallel compression applications for DNA raw data

A Guerra, J Lotero, S Isaza - The Journal of Supercomputing, 2016 - Springer
We present an experimental performance comparison of lossless compression programs for
DNA raw data in FASTQ format files. General-purpose (PBZIP2, P7ZIP and PIGZ) and …