New Parallel and Distributed Tools and Algorithms for Life Sciences

Computational methods are nowadays ubiquitous in the field of bioinformatics and biomedicine. Besides established fields like molecular dynamics, genomics or neuroimaging, new emerging methods rely heavily on large scale computational resources. These new methods need to manage Tbytes or Pbytes of d...

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Bibliographic Details
Published in:Future generation computer systems Vol. 112; pp. 1174 - 1176
Main Authors: Carretero, Jesus, Krefting, Dagmar
Format: Journal Article
Language:English
Published: Elsevier B.V 01.11.2020
Subjects:
Bioinformatics
Biomedicine
Cloud computing
Genomics
Health
Life Sciences
Workflows
Life Sciences
Cloud computing
Biomedicine
Health
Workflows
Genomics
Bioinformatics
ISSN:0167-739X, 1872-7115
Online Access:Get full text
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Summary:Computational methods are nowadays ubiquitous in the field of bioinformatics and biomedicine. Besides established fields like molecular dynamics, genomics or neuroimaging, new emerging methods rely heavily on large scale computational resources. These new methods need to manage Tbytes or Pbytes of data with large-scale structural and functional relationships, TFlops or PFlops of computing power for simulating highly complex models, or many-task processes and workflows for processing and analyzing data. Today, many areas in Life Sciences are facing these challenges. This special issue contains papers showing existing solutions and latest developments in Life Sciences and Computing Sciences to collaboratively explore new ideas and approaches to successfully apply distributed IT-systems in translational research, clinical intervention, and decision-making.
ISSN:0167-739X
1872-7115
DOI:10.1016/j.future.2020.07.058