The 22nd International Conference on Bioinformatics (InCoB 2023): Translational Bioinformatics Transforming Life

Dear Colleagues,

We are launching a topic, entitled “The 22nd International Conference on Bioinformatics (InCoB 2023): Translational Bioinformatics Transforming Life”, that seeks to publish original research, reviews and combined research–review papers. In recent years, we have witnessed a series of breakthroughs in our understanding of biology aided by high-throughput integrative approaches such as CRISPR, single-cell sequencing and metabolomics. These powerful methods are used to generate high-resolution transcriptomes, identify complex and rare cell populations, discover regulatory relationships between genes and assess cellular heterogeneity. The wealth of data generated by these technologies raises many challenges and has caused an exponential growth in the demand for tools for storing and managing data and software for the analysis, visualization, modelling and prediction of large data sets. The InCoB 2023 edition is committed to providing an opportunity for the scientific community to showcase their research and discuss this important topic through keynote talks, presentations, plenary sessions, poster sessions, workshops, software demos and panel discussions, among others.

This topic will comprise selected research works from the proceedings of the 22nd International Conference on Bioinformatics (InCoB2023; https://incob.apbionet.org/incob23/) 12–15 November 2023, the flagship annual conference of the Asia & Pacific Bioinformatics Network (APBioNET; https://www.apbionet.org), hosted by the Queensland University of Technology and the Translational Research Institute (TRI), Brisbane, Australia.

This issue highlights the current state of the art in bioinformatics applications and future prospects for improving informatics applications through integrated multi-omics approaches. We encourage submissions of manuscripts focusing on, but not limited to, current research, novel concepts, technologies and approaches in basic and advanced aspects of bioinformatics- and genomics-related research.

Publishing Areas Cancers:
Biomedical informatics;
Functional genomics;
New tools for computational biology;
Multi-level omics;
Novel methods to identify novel drug targets;
Molecular signatures of cancer;
Machine learning;
Artificial intelligence;
Systems biology;
Oncology.

Publishing Areas Genes:
Metagenomics;
Meta-transcriptomics;
Functional genomics;
Computational algorithms;
Genomic databases;
Candidate gene identification;
Big data analytics;
AI applications;
Systems medicine.

Publishing Areas IJMS:
Machine learning: applications in biology;
Multi-omics: co-expression network analysis;
Medical genetics;
Epigenetics;
Cell biology;
Drug design and discovery;
Genomics;
Computational biology;
Pan-genomics;
Gene expression analysis;
Disease gene identification.

Publishing Areas Biology:
Big data in biology: analytics, machine learning methods and datasets;
Database management;
Drug design and discovery;
Genome and proteome manipulation;
Genomics;
Metagenomics;
Molecular evolution and phylogeny;
Next-generation sequencing;
Systems biology.

Publishing Areas BioMedInformatics:
Structural bioinformatics;
Scalable data storage;
Proteomics;
Synthetic biology;
Translational bioinformatics;
Workflow and knowledge management;
Immunoinformatics;
Medical and health informatics;
High-throughput omics and imaging platforms;
Protein interactions and diseases;
Protein folding and conformational diseases;
Bioimaging;
Bioinformatics applications;
Bioinformatics models, methods and algorithms;
Biological sequence analysis;
Clinical bioinformatics;
Data mining and biomedical knowledge discovery.

Dr. Jyotsna Batra
Dr. Srilakshmi Srinivasan
Prof. Dr. Shoba Ranganathan
Dr. Asif M. Khan
Dr. Harpreet Singh
Topic Editors