Ten computer codes that transformed science

• Published in: Nature Vol. 589; no. 7842; pp. 344 - 348
• Main Author: Perkel, Jeffrey M.
• Format: Journal Article Reference
• Language: English
• Published: London Nature Publishing Group UK 21.01.2021; Nature Publishing Group
• Subjects: 639/705; 639/705/117; 639/705/794; 706/703/559; Algorithms; Applied mathematics; Ballistics; Biology; Biophysics; Cancer; Coding theory; Computational Biology - history; Computer codes; Computer industry; Computers; Databases, Factual - history; Databases, Nucleic Acid - history; Databases, Protein - history; Datasets as Topic - history; Deep Learning - history; Fast Fourier transformations; Fourier Analysis; Fourier transforms; General circulation models; Growth factors; History; History, 20th Century; History, 21st Century; Humanities and Social Sciences; Impact analysis; Mathematicians; Medical imaging; Medical research; Monkeys; multidisciplinary; National Institutes of Health (U.S.) - history; National Library of Medicine (U.S.) - history; Neural Networks, Computer; News Feature; Physics - history; Preprints as Topic - history; Programming Languages; Protein structure; Proteins; Science; Signal processing; Software; Time Factors; United States; Weather; Weather forecasting; United States; California; United Kingdom > UK; United States > US; Maryland; Computer science; Mathematics and computing; Software; Technology
• ISSN: 0028-0836; 1476-4687; 1476-4687
• DOI: 10.1038/d41586-021-00075-2

From Fortran to arXiv.org, these advances in programming and platforms sent biology, climate science and physics into warp speed. From Fortran to arXiv.org, these advances in programming and platforms sent biology, climate science and physics into warp speed.