Big data in biology: the hope and present-day challenges in it
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 …
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 …
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
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 …
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 …
single-cell RNA-seq data, there is a growing need for approaches that assess and compare …
[图书][B] Fog computing: theory and practice
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 …
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 …
DeoxyriboNucleic Acid (DNA) Sequencing. DNA sequencing is the process for determining …
Fog computing for bioinformatics applications
In bioinformatics, many high‐throughput technologies, such as next‐generation sequencing,
result in an avalanche of sequences coming from diverse sources that remain …
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 …
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 …
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 …
growth in genomics, posing a significant challenge to the computing infrastructure and …