Selected Papers from the 9th International Workshop on High Performance Bioinformatics and Biomedicine (HiBB)
A special issue of Data (ISSN 2306-5729).
Deadline for manuscript submissions: closed (31 March 2019) | Viewed by 591
Special Issue Editors
Interests: bioinformatics, parallel computing, artificial intelligence, data mining
Special Issues, Collections and Topics in MDPI journals
Interests: distributed computing; bioinformatics; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
High-throughput technologies (e.g., microarray, mass spectrometry, NGS) and clinical diagnostic tools (e.g., medical imaging) are producing an increasing amount of experimental and clinical data that presents many characteristics of big data and requires the development of bioinformatics algorithms and comprehensive data analysis pipelines that preprocess, analyze and extract knowledge from such data.
According to the “Big Data 5V”, bioinformatics big data has the following peculiar characteristics. Increasing volume of data, especially in healthcare and medicine, due to increasing resolution of experimental platforms; number of subjects enrolled in omics studies; digitalization of healthcare data. Increasing velocity in data creation and consumption, due to the increasing speed of experimental platforms and sampling rate of health monitoring sensors, that requires near real-time data ingestion and processing. High variety, due to the presence of various and heterogeneous data sich as clinical, laboratory, healthcare and administration data. High variability, that is related to the different ways that data is captured in bioinformatics, e.g. by considering experiment setup, data formats, etc.. High value, that is related both to the knowledge that may be extracted from data and also to the cost of infrastructures needed to produce and to analyze data.
This Special Issue invites submissions on efficient algorithms, software tools and comprehensive data analysis pipelines facing the challenges related to the management and analysis of “big” omics and clinical data, that are more and more produced by high-throughput experimental platforms as well as diagnostic tools. Furthermore, the Special Issues invites submissions discussing novel approaches to face bioinformatics big data and novel parallel strategies to implement bioinformatics and biomedical algorithms.
This Special Issue of Data is dedicated to selected papers from the 9th International Workshop on High Performance Bioinformatics and Biomedicine (HiBB), which is held in conjunction with BIBM 2018 held in Madrid, Spain, 3–6 December, 2018. Expanded versions of papers presented at the workshop will be invited for submission to this Special Issue.
Prof. Mario Cannataro
Dr. Giuseppe Agapito
Guest Editors
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Keywords
- Big Data in Bioinformatics
- Big Data in Medicine and Biology
- High performance data mining for bioinformatics and biomedicine
- Large scale biological and biomedical databases
- Data integration and ontologies in biology and medicine
- Parallel bioinformatics algorithms
- Parallel visualization and exploration of biomedical data
- Parallel visualization and analysis of biomedical images
- Computing environments for large scale collaboration
- Scientific workflows in bioinformatics and biomedicine
- Services for bioinformatics and biomedicine
- Cloud Computing for bioinformatics and biomedicine
- Peer-To-Peer Computing for bioinformatics and biomedicine
- Emerging architectures for bioinformatics and biomedicine
- Parallel processing of bio-signals
- Modeling and simulation of complex biological processes
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