Journals in Computational biology

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BioSystems

• ISSN: 0303-2647
• 5 Year impact factor: 1.8
• Impact factor: 2

BioSystems encourages theoretical, computational, and experimental articles that link biology, evolutionary concepts, and the information sciences. The journal is dedicated to publishing research on self-organizing information systems—with the goal of obtaining a better understanding of the origins of biochemical, genetic, epigenetic, physiological, cognitive, linguistic, sociocultural, and biological organization and evolution.The scope of the journal encompasses the fundamental nature of biological information and (self)-organization. This includes quantum phenomena in information transfer, natural computing, biological coding systems, biological complexity, theoretical biology, artificial life, computational modeling of complex biological systems, evolutionary models of computation, application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.The journal does not publish purely medical, computational, or ecological research, unless it is clearly linked to the basic and conceptual aspects of biological organization.The editors encourage articles that deal, in particular, with the following topics:Biological computationMolecular recognitionPhysical foundations of biologyQuantum phenomena in biological systemsCellular controlNeuromolecular computingBiological coding systemsMolecular computing processesSelf-organizing and self-replicating systemsOrigin of the genetic codeOrigins and evolution of genomesStochastic evolutionary algorithmsOrigins and evolution of mind and languageEcological evolutionary developmental biologyReticulate evolution (symbiosis, symbiogenesis, lateral gene transfer)Simulation of genetic and ecological systemsApplications (neural nets, machine learning, robotics)History and philosophy of scienceIn addition, the editors encourage the following types of papers for submission: Papers that extract novel biological insights from multidimensional data, using AI-driven language modelsBiological hypothesis papers producing new insights based on a body of pre-existing empirical researchPerspectives papers intended to stimulate scientific discussions and provide guidelines for future directions

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Computational Biology and Chemistry

• ISSN: 1476-9271
• 5 Year impact factor: 2.6
• Impact factor: 2.6

Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered.Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered.Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.

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Current Opinion in Systems Biology

• ISSN: 2452-3100
• Impact factor: 3.4

Current Opinion in Systems Biology is a new review journal that aims to provide specialists with a unique and educational platform to keep up-to-date with the expanding volume of information published in the field of Systems Biology. It publishes polished, concise and timely reviews and opinion articles. In addition to describing recent trends, the authors are encouraged to give their subjective opinion on the topics discussed. As this is such a broad discipline, we have determined themed sections each of which is regularly reviewed.The following areas will be covered by Current Opinion in Systems Biology: • Genomics and Epigenomics • Gene Regulation • Metabolic Networks • Cancer and Systemic Diseases • Mathematical Modelling • Big Data Acquisition and Analysis • Systems Pharmacology and Physiology • Synthetic Biology • Stem Cells, Development, and Differentiation • Systems Biology of Model Organisms • Systems Immunology and Host-Pathogen Interaction • Systems Ecology and EvolutionSection Editors, who are major authorities in the field, are appointed by the Editors in Chief of the journal. They divide their sections into a number of topics, ensuring that the field is comprehensively covered and that all issues of current importance are emphasised. Section Editors commission reviews from authors on each topic that they have selected and arrange for the peer review process. The papers are reviewed by 2 independent reviewers.ReviewsAuthors write short review articles in which they present recent developments in their subject, emphasizing the aspects that, in their opinion, are most important. In addition, they provide short annotations to the papers that they consider to be most interesting from all those published in their topic over the previous year.Opinion ArticlesAuthoritative opinion articles that provide an in-depth background and personal, well reasoned perspective on current, relevant as well as controversial topics within the themes of the journal will be written by the Editor-in-Chief and / or invited by the Editor-in-Chief.Editorial OverviewSection Editors write a short overview at the beginning of the section to introduce the reviews and to draw the reader's attention to any particular interesting developments.Invited authors are encouraged to visit our Guide for Authors for information on article submission.

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Healthcare Analytics

• ISSN: 2772-4425

Healthcare Analytics is an interdisciplinary journal promoting the application of data science, business analytics, information technology, operations research, statistics, simulation, optimization, and mathematical modeling to decision-making and problem-solving in healthcare organizations within the private and public sectors. The principal objective of Healthcare Analytics is to provide state-of-the-art information for academic researchers, policy-makers, and practitioners concerned with developing new methodologies, tools, and technologies to formulate and solve operational, tactical, and strategic problems in healthcare organizations. The journal views a healthcare organization as an entity that provides medical services, health-related support, or medical care to individuals or communities. These organizations are structured to deliver a wide range of services to promote, maintain, or restore health. Healthcare organizations can vary in size, scope, and purpose and can be classified into different types based on their function, ownership, and services. A healthcare organization can be a hospital (providing a broad range of medical services, including emergency care, surgeries, inpatient treatment, and specialized care), a clinic (offering outpatient services, preventive care, and treatment for non-emergency conditions), a nursing home (providing long-term care for elderly or disabled individuals who need help with daily activities), a home healthcare agency (offering medical care and assistance to patients in their homes), a public health organization (focusing on population health through disease prevention, health education, and community health initiatives), a health maintenance organization (managing healthcare services through a network of providers with a focus on preventive care), an urgent care center (providing immediate care for non-life-threatening conditions), a rehabilitation center (focusing on helping patients recover from injuries, surgeries, or illnesses), a clinical or hospital laboratory (performing blood tests, pathology, microbiology, and biochemistry analysis), a pharmaceutical or biotech laboratory (developing and testing new drugs and treatments or new medical equipment and devices), a public health laboratory (focusing on disease surveillance, testing for infectious diseases, and managing public health emergencies), an environmental health laboratory (analyzing samples related to environmental factors, such as water, air, and soil quality), or health research centers (such as academic medical centers, national research institutes, government-funded institutions, non-governmental research centers, or private companies or foundations) among others.Healthcare Analytics is comprised of four Departments:The Descriptive Analytics Department handles manuscripts and studies that answer what happened by analyzing historical data and extracting hindsight about the past without explaining why.The Diagnostic Analytics Department handles manuscripts and studies that answer why something happened by measuring historical data against other data (i.e., benchmarks) and extracting insight into the present.The Predictive Analytics Department handles manuscripts and studies that answer what will happen using descriptive and diagnostic analytics findings to provide foresight for the future.The Prescriptive Analytics Department handles manuscripts and studies that answer what to do using descriptive, diagnostic, and predictive analytics findings and prescribe for the future to eliminate a problem or take advantage of a promising trend.The journal is a source of information for theoretical, empirical, and analytical research and real-world applications and case studies in healthcare analytics and informatics.

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Mathematical Biosciences

• ISSN: 0025-5564
• 5 Year impact factor: 2.3
• Impact factor: 1.9

Mathematical Biosciences publishes work providing new concepts or new understanding of biological systems using mathematical models, or methodological articles likely to find application to multiple biological systems. Papers are expected to present a major research finding of broad significance for the biological sciences, or mathematical biology. Mathematical Biosciences welcomes original research articles, letters, reviews and perspectives.

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