Some scientific studies involve huge amounts of bioinformatics data that cannot be analyzed
on personal computers usually employed by researchers for day-to-day activities but rather …

Advances in high-throughput and digital technologies have required the adoption of big data
for handling complex tasks in life sciences. However, the drift to big data led researchers to …

With the continuous development of Internet technology and electronic information
technology, big data technology and cloud computing technology also rise and develop, and …

Huge data processing applications are stored efficiently using cloud computing platform.
Few technologies like edge computing, Internet of Things (IoT) model helps cloud computing …

Background Distributed approaches based on the MapReduce programming paradigm
have started to be proposed in the Bioinformatics domain, due to the large amount of data …

Word-based or 'alignment-free'sequence comparison has become an active research area
in bioinformatics. While previous word-frequency approaches calculated rough measures of …

Background In many fields of biomedical research, it is important to estimate phylogenetic
distances between taxa based on low-coverage sequencing reads. Major applications are …

Background Design of valid high-quality primers is essential for qPCR experiments.
MRPrimer is a powerful pipeline based on MapReduce that combines both primer design for …

In this paper, we introduce MARVEL, a system designed to simplify the teaching of
MapReduce, a popular distributed programming paradigm, through software visualization …

The paper analyses and studies the classification and characteristics of Internet of Things
(IoT) information, and discusses the construction and application of Hadoop Cloud Platform …