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We solicit high quality original research papers (including significant work in progress) in any aspect of bioinformatics, genomics, and biomedicine New computational techniques and methods and their application in life science and medical domains are especially encouraged.

Bioinformatics --- Computational biology

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Computational biology. --- Biology --- Data processing.

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The use of computers and software tools in biochemistry (biology) has led to a deep revolution in basic sciences and medicine. Bioinformatics and systems biology are the direct results of this revolution. With the involvement of computers, software tools, and internet services in scientific disciplines comprising biology and chemistry, new terms, technologies, and methodologies appeared and established. Bioinformatic software tools, versatile databases, and easy internet access resulted in the occurrence of computational biology and chemistry. Today, we have new types of surveys and laboratories including "in silico studies" and "dry labs" in which bioinformaticians conduct their investigations to gain invaluable outcomes. These features have led to 3-dimensioned illustrations of different molecules and complexes to get a better understanding of nature.

Computational biology. --- Cheminformatics. --- Bioinformatics. --- Computational chemistry.

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Biology has entered the age of Big Data. A technical revolution has transformed the field, and extracting meaningful information from large biological data sets is now a central methodological challenge. Algebraic topology is a well-established branch of pure mathematics that studies qualitative descriptors of the shape of geometric objects. It aims to reduce comparisons of shape to a comparison of algebraic invariants, such as numbers, which are typically easier to work with. Topological data analysis is a rapidly developing subfield that leverages the tools of algebraic topology to provide robust multiscale analysis of data sets. This book introduces the central ideas and techniques of topological data analysis and its specific applications to biology, including the evolution of viruses, bacteria and humans, genomics of cancer, and single cell characterization of developmental processes. Bridging two disciplines, the book is for researchers and graduate students in genomics and evolutionary biology as well as mathematicians interested in applied topology.

Bioinformatics --- Computational biology. --- Mathematical analysis. --- Mathematical models.

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This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics. It also highlights the role of computing and machine learning in knowledge extraction from biological data, and how this knowledge can be applied in fields such as drug design, health supplements, gene therapy, proteomics and agriculture. .

Computational biology. --- Biology --- Bioinformatics --- Computational intelligence. --- Bioinformatics. --- Machine learning. --- Computational Intelligence. --- Computational Biology/Bioinformatics. --- Machine Learning. --- Learning, Machine --- Artificial intelligence --- Machine theory --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- Intelligence, Computational --- Soft computing --- Data processing