Selected Papers from the 9th International Workshop on High Performance Bioinformatics and Biomedicine (HiBB)

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

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the Special Issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Data is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.