Bioinformatics and High-Performance Computing Methods for Deciphering and Fighting COVID-19
A special issue of BioTech (ISSN 2673-6284). This special issue belongs to the section "Computational Biology".
Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 24752
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,
COVID-19 poses many challenges at biological, medical, and epidemiological levels, such as: investigating the molecular basis of the disease, tracing virus mutations, SARS-CoV-2 genomes and variants databases, host–virus interactions, vaccine development, drug repurposing, the integrated collection and analysis of basic epidemiological data about the spread of the infection, collaborative infrastructures to analyze electronic health records (EHRs) on a large scale, large-scale testing and tracing of people, infectious disease modelling, COVID-19 epidemiology and public health, effects of the pandemic at the emotional and behavioral level, the impact of the pandemic on remote working, etc.
Each of these challenges may benefit from high-performance computing infrastructures and novel software pipelines, including bioinformatics for basic research, computer simulation for epidemiology and disease modelling, and big data integration, for example, for connecting disease data with environmental and climate data, mobile applications, wearable sensors to trace people or to collect health data, telemedicine infrastructures to collect health data and to remotely assist COVID-19 patients with mild symptoms, data science and data analytics solutions for statistical and data mining analysis of data at several levels, including mood and sentiment analysis of long-time quarantined people as well as care givers and healthcare personnel.
This Special Issue invites submissions from bioinformaticians, data scientists, biologists, as well as medical doctors and epidemiologists, to present (high-performance) computing methods for deciphering COVID-19 and interdisciplinary applications for fighting the COVID-19 pandemic. Position papers discussing emerging solutions and future directions in the computer-based management of pandemic are also welcomed. Topics including but not limited to:
- SARS-CoV-2 databases (genome, variants, structures, host–virus interactions)
- Bioinformatics pipelines for SARS-CoV-2 virus data analysis (sequences, structures, interactions, infection mechanisms)
- Bioinformatics pipelines for COVID-19 drugs repurposing and vaccines design
- Computing infrastructures for enabling COVID-19 collaborative research
- Computing methods for tracing and tracking COVID-19 patients and their contacts
- Exploiting electronic health records data for COVID-19 research
- Data science for COVID-19 clinical processes (diagnosis, treatment, prognosis, follow-up)
- Computing infrastructures for COVID-19 data collection, integration, sharing, and visualization
- Telemedicine infrastructures and sensors for collecting public health citizen data
- Telemedicine for the remote support of COVID-19 patients (monitoring, diagnosis, treatment, follow-up, tele-presence)
- Data science for public health decision making
- Data science for relating COVID-19 data with environmental, pollution, and climate data
- Modelling and simulation of SARS-CoV-2 virus diffusion
- Epidemiology, virology, public health, and COVID-19
- Network-based analysis for epidemics
- Computing infrastructures for collecting quarantined citizen emotion data
- Sentiment analysis software pipelines for mood and emotion analysis during the COVID-19 pandemic
Prof. Dr. Mario Cannataro
Dr. Giuseppe Agapito
Guest Editors
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