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The development of biocomputers has been made possible by the expanding new science of nanobiotechnology. The term nanobiotechnology can be defined in multiple ways; in a more general sense, nanobiotechnology can be defined as any type of technology that uses both nano-scale materials (i.e. materials having characteristic dimensions of 1-100 ...
It covers the intersection of biomedical engineering, computational biology, bioinformatics, and computer science. The journal publishes research articles, reviews, tutorials, editorials, and letters. According to the Journal Citation Reports, the journal has a 2022 impact factor of 7.7. [1]
and several measures derived from these data for a given journal: its impact factor, immediacy index, etc. There are separate editions for the sciences and the social sciences; the 2013 science edition includes 8,411 journals, and the 2012 social science edition contains 3,016 titles.
The concept of biological computation proposes that living organisms perform computations, and that as such, abstract ideas of information and computation may be key to understanding biology.
In any given year, the CiteScore of a journal is the number of citations, received in that year and in previous three years, for documents published in the journal during the total period (four years), divided by the total number of published documents (articles, reviews, conference papers, book chapters, and data papers) in the journal during the same four-year period: [3]
The Annual Review of Biomedical Data Science was first published in 2018 by the nonprofit publisher Annual Reviews. [6] The journal focuses on biomedical data science, the development of scientific methods to acquire, annotate, organize, analyze, and interpret biomedical data and extract knowledge about life, health, and disease. [7]
BioTechniques: the International Journal of Life Science Methods is a peer-reviewed open-access scientific journal published by Future Science Group.It covers laboratory methods and techniques that are of broad interest to professional life scientists, as well as scientists from other disciplines (e.g. physics, chemistry, engineering, computer sciences) interested in life science applications ...
The super-high indicators and excellence of the TrueNorth chip have caused a great stir in the academic world at the beginning of its release. In 2012, the Institute of Computing Technology of the Chinese Academy of Sciences(CAS) and the French Inria collaborated to develop the first chip in the world to support the deep neural network ...