Dear Colleagues,

We are pleased to inform you that the following special issue is now open to receive submissions for possible publications.

The paper will be published in Symmetry (a peer-reviewed open access journal ISSN 2073-8994 https://www.mdpi.com/journal/symmetry https://www.mdpi.com/journal/symmetry I. F. 2.645 (2019)).

Below, you can find further information.

Special Issue "Bioinformatics and Statistics" Website: https://www.mdpi.com/journal/symmetry/special_issues/Bioinformatics_Statisti... https://www.mdpi.com/journal/symmetry/special_issues/Bioinformatics_Statistics Guest Editors: Dr. Claudia Angelini, Istituto per le Applicazioni del Calcolo “M. Picone” - CNR, Dr. Italia De Feis, Istituto per le Applicazioni del Calcolo “M. Picone” – CNR, Dr Antonella Iuliano, Telethon Institute of Genetics and Medicine Deadline for manuscript submissions: 31 July 2021

If you are interested in presenting a contribution, we kindly ask you to let us know within 15 March 2021.

Potential topics for manuscripts include but are not limited to: Penalized statistical methods for omics data Statistical methods for omics data integration Machine Learning and Deep learning approaches in bioinformatics Mathematical and probabilistic models in biology Multitask learning in biological applications Network analysis and omics data Computational and statistical tools in bioinformatics High dimensional data visualization

Description: In the last decades, advances in high throughput technologies have allowed scientists to collect massive omics datasets. International projects and consortia made different types of omics data publicly available. Examples span from transcriptomics to epigenomics, proteomics, and metabolomics. Moreover, scientists can also collect heterogenous multi-omic information on the same samples, allowing to elucidate the interplay role of different cellular components. However, the difficulty in defining an appropriate statistical methodology to analyze the data and integrate diverse sources of information and the limited availability of efficient algorithms and software tools hinder the possibility of investigating fundamental cellular mechanisms and understanding disease onset and progression. This gap prompted us to highlight the statistical data analysis challenges and collect novel emerging statistical methods for omics data analysis and integration in a thematic issue on Bioinformatics and Statistics. Manuscripts that report novel software tools and efficient algorithms are very welcome too.

As the Guest Editors, we warmly invite you to contribute to our Special Issue. Do not hesitate to forward this message to anyone who could be interested.

Thank you very much for your kind consideration, and apologies for multiple copies. We look forward to hearing from you.

Claudia Angelini Italia De Feis Antonella Iuliano