Big data in biology: the hope and present-day challenges in it

S Pal, S Mondal, G Das, S Khatua, Z Ghosh - Gene Reports, 2020 - Elsevier
The wave of new technologies has opened up the opportunity for cost-effective generation of
high-throughput profiles of biological systems. This is generating tons of biological data. It is …

The application of hadoop in structural bioinformatics

JJ Alnasir, HP Shanahan - Briefings in bioinformatics, 2020 - academic.oup.com
The paper reviews the use of the Hadoop platform in structural bioinformatics applications.
For structural bioinformatics, Hadoop provides a new framework to analyse large fractions of …

[HTML][HTML] DEAD-box helicase 18 counteracts PRC2 to safeguard ribosomal DNA in pluripotency regulation

H Zhang, Z Wu, JY Lu, B Huang, H Zhou, W Xie… - Cell Reports, 2020 - cell.com
Embryonic stem cells (ESCs) exhibit high levels of ribosomal RNA (rRNA) transcription and
ribosome biogenesis. Here, we reveal an unexpected role for an essential DEAD-box …

[HTML][HTML] Data-based RNA-seq simulations by binomial thinning

D Gerard - Bmc Bioinformatics, 2020 - Springer
Background With the explosion in the number of methods designed to analyze bulk and
single-cell RNA-seq data, there is a growing need for approaches that assess and compare …

[图书][B] Fog computing: theory and practice

A Abbas, SU Khan, AY Zomaya - 2020 - books.google.com
Summarizes the current state and upcoming trends within the area of fog computing Written
by some of the leading experts in the field, Fog Computing: Theory and Practice focuses on …

[HTML][HTML] Comprehensive comparison of cloud-based NGS data analysis and alignment tools

QB Baker, M Hammad, W Al-Rashdan… - Informatics in Medicine …, 2020 - Elsevier
Abstract Next-Generation Sequencing (NGS) is very helpful for conducting
DeoxyriboNucleic Acid (DNA) Sequencing. DNA sequencing is the process for determining …

Fog computing for bioinformatics applications

HU Rehman, A Khan, U Habib - Fog computing: Theory and …, 2020 - Wiley Online Library
In bioinformatics, many high‐throughput technologies, such as next‐generation sequencing,
result in an avalanche of sequences coming from diverse sources that remain …

[PDF][PDF] Managing data diversity on the internet of medical things (IoMT)

I Mehmood, S Anwar, A Dilawar, I Zulfiqar… - Int. J. Inf. Technol …, 2020 - mecs-press.org
In the healthcare industry, the Internet of Medical Services (IOMT) plays a vital role
throughout the increasing performance, reliability, and efficiency of an electronic device …

miR-378 and its host gene Ppargc1β exhibit independent expression in mouse skeletal muscle

L Kang, C Han, G Yang, H Li, T Li… - Acta Biochimica et …, 2020 - academic.oup.com
MicroRNAs (miRNAs) are implicated in multiple biological processes in physiological and
pathological settings. Nearly half of the known miRNAs are classified as 'intronic'miRNAs …

[图书][B] Leveraging big data and machine learning technologies for accurate and scalable genomic analysis

L Shi - 2020 - search.proquest.com
The revolution in next-generation DNA sequencing technologies is leading to explosive data
growth in genomics, posing a significant challenge to the computing infrastructure and …