This textbook describes recent advances in genomics and bioinformatics and provides numerous examples of genome data analysis that illustrate its relevance to real world problems and will improve the reader's bioinformatics skills. Basic data preprocessing with normalization and filtering, primary pattern analysis, and machine learning algorithms using R and Python are demonstrated for gene-expression microarrays, genotyping microarrays, next-generation sequencing data, epigenomic data, and biological network and semantic analyses. In addition, detailed attention is devoted to integrative genomic data analysis, including multivariate data projection, gene-metabolic pathway mapping, automated biomolecular annotation, text mining of factual and literature databases, and integrated management of biomolecular databases.

The textbook is primarily intended for life scientists, medical scientists, statisticians, data processing researchers, engineers, and other beginners in bioinformatics who are experiencing difficulty in approaching the field. However, it will also serve as a simple guideline for experts unfamiliar with the new, developing subfield of genomic analysis within bioinformatics.

The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.

Professor Ju Han Kim (MD, PhD) graduated from Seoul National University College of Medicine and trained as a neuropsychiatrist at SNU Hospital and Douglas Potter Fellow at Beth Israel Deaconess Medical Center, Harvard Medical School, followed by an Assistant Professorship in Biomedical Informatics at Harvard Medical School and The Children's Hospital, Boston. He also holds a Master of Engineering in Biomedical Informatics from the Harvard-MIT Division of Health Sciences and Technology, M.I.T. He is currently Professor of Biomedical Informatics and Psychiatry at Seoul National University College of Medicine, and has served as the Executive Vice President for Research at Seoul National University since 2025. He served as President of the Korean Society for Bioinformatics (2013–2014) and Chairman Elected of the Korean Society of Medical Informatics (2027). He has received numerous prestigious awards, including the Yoon Kwang-Ryul Medical Award from the Korean Academy of Medical Sciences (2025) and the WIPO Award for Best Inventor from the World Intellectual Property Organization (2012).