Bioinformatics Study in Human Diseases: Integration of Omics Data for Personalized Medicine (Second Edition)

Dear Colleagues,

In the past decade, an unprecedented breakthrough has been made in the wake of the application of next-generation sequencing technologies and advanced artificial intelligence methods. The advances accordingly bring a remarkable opportunity for the determination of key companion biomarkers and biosignatures, efficient diagnoses, prognostic predictions, potent drug identification, and possible mechanisms in a comprehensive way based on multi-omics data.

Bioinformatics is widely employed to cope with the above challenges. A variety of bioinformatic tools and open access datasets have been developed to promote the integration of omics data, such as epigenomics, metabolomics, transcriptomics, and genomics, in a comprehensive way. In contrast to the traditional approach, bioinformatics has considerably boosted the accuracy of diagnoses and prognoses, expedited the discovery of novel drug targets, and deepened the functional understanding of disease mechanisms, paving a path to advance precision medicine.

We are pleased to invite you to contribute original research articles with reference (but not limited) to the bioinformatics-centric identification of biomarkers/biosignatures/drugs/mechanisms/prediction algorithms for diagnoses, prognoses, and potential therapeutics in human diseases. Critical review manuscripts with a perspective vision, setting the stage for future research, are also especially welcome.

Please kindly note that new methods must be compared with existing state-of-the-art methods, using real biological data. The inclusion of experimental data is very much encouraged.

We look forward to receiving your contributions.

Dr. Hung-Yu Lin
Dr. Pei-Yi Chu
Guest Editors

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• cancers
• ageing-related diseases
• bioinformatics
• multi-omics
• pharmacogenetics
• deep learning
• evolutionary learning
• diagnosis
• prognosis
• companion biomarker
• drug screening
• mechanism dissection