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Bioinformatics Theory and Methods for Biological Discovery

Edited by:

Frank Eisenhaber, MD, PhD, Bioinformatic Institute, Singapore
Nash Rochman, PhD, City University of New York, United States of America
Enrico Bucci, PhD, Temple University, United States of America

Submission Status: Open   |   Submission Deadline: 31 January 2025

Biology Direct is calling for submissions to our Collection on Bioinformatics Theory and Methods for Biological Discovery. From genomic data analysis to drug discovery, this Collection welcomes high-quality original research and review papers that advance our understanding of bioinformatics and computational biology.

Image credit: © metamorworks / Getty Images / iStock

About the Collection

Biology Direct invites researchers to contribute to a new Collection of bioinformatics articles with impact for life science data analysis, biological theory, and biotechnological/medical application.

Roughly 75 years into the "information age", we find ourselves entering into a new era of "big data" where dramatically growing data acquisition is not yet accompanied by adequate means to transform this data into insightful information and scientific discovery. Nowhere has this had a greater impact than within the realm of biology and medicine where recent technological innovations have permitted more robust and entirely new modes of data collection at every scale of organizational complexity from genomics to cell biology and ecology. Advances in bioinformatics can support the development of novel bioengineering applications which require understanding emergent phenomena among new data types previously unseen. This, in turn, can support the development of improved data-analytic methodology. Lastly, but of fundamental importance, this process reveals highly-conserved patterns across disparate experimental systems, proving the raw materials for new theory.

This transformation of data into scientific discovery is not an automatic process and the growth of biological datasets is far outstripping the pace of interpretation as insufficiently analyzed datasets from past decades and many still unknown genome functions certify. This Collection aims to highlight recent advances and ongoing efforts to narrow this gap.

We welcome interdisciplinary research and perspectives that demonstrate innovative approaches to address biological and medical challenges using computational techniques that support new engineering applications, analytic-method development, or mathematical foundations of biological systems.

Topics of interest include but are not limited to:

• Genomic Data Analysis
• Protein Structure Prediction
• Mathematical Modeling
• Drug Discovery and Development
• Disease Biomarker Identification
• Personalized Medicine

  1. Retinal vascular endothelial cell (RVECs) injury is a major cause of morbidity and mortality among the patients with diabetes. RVECs dysfunction is the predominant pathological manifestation of vascular compli...

    Authors: Qi Zhou, Min Tian, Yang Cao, Min Tang, Xiaohong Xiang, Lu Guo and Hongbin Lv
    Citation: Biology Direct 2024 19:54
  2. Esophageal carcinoma (EC) and gastric cardiac adenocarcinoma (GCA) have high incidence rates in the Chaoshan region of South China. Multifocal esophageal and cardiac cancer (MECC) is commonly observed in this ...

    Authors: Xi Liu, Lijun Cai, Juan Ji, Dongping Tian, Yi Guo, Shaobin Chen, Meng Zhao and Min Su
    Citation: Biology Direct 2024 19:51
  3. Prostate cancer (PCa) is the second leading cause of tumor-related mortality in men. Metastasis from advanced tumors is the primary cause of death among patients. Identifying novel and effective biomarkers is ...

    Authors: YaXuan Wang, Bo Ji, Lu Zhang, Jinfeng Wang, JiaXin He, BeiChen Ding and MingHua Ren
    Citation: Biology Direct 2024 19:50

Submission Guidelines

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This Collection welcomes submissions of original research and review articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. 

Articles for this Collection should be submitted via our submission system, Snapp. Please, select the appropriate Collection title “Bioinformatics Theory and Methods for Biological Discovery" under the Details tab during the submission stage.

Articles will undergo the journal’s standard peer-review process and are subject to all the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer-review process. The peer-review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.