Advisory Board and Editors Bioinformatics

Author Instructions Factsheet
Journal Factsheet
A one-page PDF to help when considering journal options with co-authors
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I told my colleagues that PeerJ is a journal where they need to publish if they want their paper to be published quickly and with the strict peer review expected from a good journal.
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PeerJ Author
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Fabio Cumbo

Fabio Cumbo is a Postdoctoral Researcher at the Center for Computational Life Sciences of the Cleveland Clinic's Lerner Research Institute in Cleveland, OH.

He received his Ph.D. in Computer Science and Automation Engineering from the University of Roma Tre in 2019, and his BSc. and MSc. in Software Engineering from the same University in 2012 and 2014 respectively. From November 2018 to December 2021 he was a Postdoctoral Researcher at the Department of Cellular, Computational and Integrative Biology (CIBIO) of the University of Trento, Italy. Fabio

Cumbo's research mainly focuses on Bioinformatics, Metagenomics, Machine Learning, and Hyperdimensional Computing.

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Daniele D'Agostino

Daniele D'Agostino, Ph.D., is associate professor at the University of Genoa (DIBRIS), Italy. His research interests are in the field of high performance computing and e-Science. In particular he cooperates with scientists of the astrophisics, physics, bioinformatics and earth science domains. In 2014 he was a co-chair of the 22nd Euromicro International Conference on Parallel, Distributed and network based Processing. He co-authored more than 100 papers on international journals, books and conference proceedings. He acted also as co-guest editor of several special issues.

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Martin Daumer

Dr Martin Daumer: Director of the SLCMSR e.v. - The Human Motion Institute in Munich and managing director of the IT company, Trium Analysis Online GmbH. He is also visiting lecturer for Telemedicine and Clinical Applications of Computational Medicine at the Technical University Munich.

Dr Daumer received a diploma in Physics in 1990 and a Ph.D. in mathematics from the Ludwig-Maximilians-University Munich in 1995, after having worked at CERN, Switzerland, and Rutgers University, USA.

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Melissa J Davis

Associate Professor Melissa Davis is a computational biologist and Laboratory Head in the Bioinformatics Division of the Walter and Eliza Hall Institute of Medical Research. Her background is in genetics and computational cell biology with expertise in the analysis of genome-scale molecular networks, systems biology, and knowledge-based modelling of regulatory networks.

In 2014, Melissa was awarded a four year National Breast Cancer Foundation Career Development Fellowship, and took up a position as Senior Research Fellow in Computational Systems Biology at the University of Melbourne, before moving to the Walter and Eliza Hall Institute for Medical Research as a Laboratory Head in 2016. Melissa specialises in the integration of genomic, transcriptomic, and proteomic data with knowledge-based network models to understand the regulatory logic of mammalian systems.

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Charlotte M. Deane

Professor of Structural Biology and Director of the Systems Approaches to Biomedical Sciences Industrial Doctoral Centre at Oxford University.

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Christophe Dessimoz

SNSF Professor at the University of Lausanne, Reader at University College London, and Group Leader of the Swiss Institute of Bioinformatics

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Luigi Di Biasi

Luigi Di Biasi is a Researcher in the Department of Computer Science at the University of Salerno.

Since 2023, he has been a Deferred Tenured Teacher for the A041 STEM class at ITT Maria Curie – Naples (NATF190001).

He earned his Bachelor’s degree in Computer Science from the University of Salerno in 2010 and his Master’s degree in Computer Science in 2014. In 2023, he completed his PhD in Computer Science at the same university.

Starting from the 2023/24 academic year, he has been a lecturer and co-instructor for courses on Databases, Statistics, and Data Analysis.

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Nicholas J Dickens

Associate Research Professor in Bioinformatics at Florida Atlantic University. Research focus genomics of marine organisms, environmental microbiomes and machine learning to understand genome sequence. Wellcome Trust Centre for Molecular Parasitology, University of Glasgow Bioinformatics team for 7 years and lead the team for 4 of those. Also lead an experimental sequencing team in the Centre and has a bioinformatics research group. Originally, studied Biology at Imperial College London and moved into bioinformatics at NV Organon Pharmaceuticals in the Netherlands. Following this he had a research post at the MRC Functional Genetics Unit, University of Oxford where he stayed to do his genome informatics PhD. Has held research post-doctoral posts in London working in type-2 diabetes and cardiovascular disease at Imperial College, and cancer biology at the Institute of Cancer Research.

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Trang Do

Dr. Trang Do earned her PhD degree from the National University of Singapore in 2013. She is a proactive and motivated educator and data scientist, showcasing a track record of effectively managing expansive and intricate projects alongside engagements with stakeholders and government agencies. Her expertise spans data and computer science, coupled with a foundation in economics and bioinformatics, driving an ongoing pursuit of professional development. Her research interests encompass a wide scope within data science, intelligent systems, and interdisciplinary computing. Presently, her primary focus centers on machine learning, deep learning, explainable AI, data analysis, and visualization, particularly within the realms of health informatics, drug discovery, bioinformatics, tourism, and intelligent systems.

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Douglas S Domingues

I am an Assistant Professor in Plant Molecular Genetics at the "Luiz de Queiroz" College of Agriculture, University of São Paulo, Brazil. My main interests are devoted to understanding gene and genome evolution in plants, working on genome-wide analyses, including transcriptional analyses of gene families relevant to plant metabolism, RNA-seq analyses in plants, as well as studies on non-coding RNAs and transposable elements.

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Timothy P Driscoll

Associate Professor at West Virginia University Department of Biology. PhD in Genomics, Bioinformatics, and Computational Biology from Virginia Tech. Our research centers on the distribution, evolution, and design of interventions for zoonotic and vector-borne infectious diseases. I focus on Rickettsiales and other intracellular pathogens, using phylogenomics and related approaches to understand virulence and pathogenicity.