Search · four archives
Search · four archives
12 papers · ranked by Valyu relevance
Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland + 30 more
SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories…
Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, Ralf Gommers + 22 more
'Ralf Gommers' 'Pauli Virtanen' 'David Cournapeau' 'Eric Wieser' 'Julian Taylor' 'Sebastian Berg' 'Nathaniel J. Smith' 'Robert Kern' 'Matti Picus' 'Stephan Hoyer' 'Marten H. van Kerkwijk' 'Matthew Brett' 'Allan Haldane' 'Jaime Fernández del Río' 'Mark Wiebe' 'Pearu Peterson' 'Pierre Gérard-Marchant' 'Kevin Sheppard'…
Berk Ekmekci, Charles E. McAnany, Cameron Mura, Francis Ouellette
Computing has revolutionized the biological sciences over the past several decades, such that virtually all contemporary research in molecular biology, biochemistry, and other biosciences utilizes computer programs. The computational advances have come on many fronts, spurred by fundamental developments in hardware…
Eilif Muller, James A. Bednar, Markus Diesmann, Marc-Oliver Gewaltig + 2 more
'Michael Hines' 'Andrew P. Davison'] This Research Topic of Frontiers in Neuroinformatics is dedicated to the memory of Rolf Kötter (1961-2010), who was the Frontiers Associate Editor responsible for this Research Topic, and who gave us considerable support and encouragement during the process of conceiving and…
Knut Rand, Ivar Grytten, Milena Pavlovic, Chakravarthi Kanduri + 1 more
Python is a popular and widespread programming language for scientific computing, in large part due to the powerful array programming library NumPy, which makes it easy to write clean, vectorized and efficient code for handling large datasets. A challenge with using array programming for biological data is that the…
Dilawar Singh, Steven S. Andrews
Smoldyn is a particle-based biochemical simulator that is frequently used for systems biology and biophysics research. Previously, users could only define models using text-based input or a C/C++ applicaton programming interface (API), which were convenient, but limited extensibility. We added a Python API to Smoldyn…
Chaoming Wang, Sichao He, Shouwei Luo, Yuxiang Huan + 1 more
Artificial intelligence (AI) is revolutionizing scientific research across various disciplines. The foundation of scientific research lies in rigorous scientific computing based on standardized physical units. However, current mainstream high-performance numerical computing libraries for AI generally lack native…
Pau Andrio, Adam Hospital, Cristian Ramon-Cortes, Javier Conejero + 4 more
The usage of workflows has led to progress in many fields of science, where the need to process large amounts of data is coupled with difficulty in accessing and efficiently using High Performance Computing platforms. On the one hand, scientists are focused on their problem and concerned with how to process their data.…
Dileep Kishore, Srikiran Chandrasekaran
Biological systems are intrinsically noisy and this noise may determine the qualitative outcome of the system. In the absence of analytical solutions to mathematical models incorporating noise, stochastic simulation algorithms are useful to explore the possible trajectories of these systems. Algorithms used for such…
Jeremy Li, Alex Rubinsteyn, Sergey Feldman, Timothy O’Donnell + 18 more
Scientific computing has become a central component of modern scientific discovery. Yet many computational tools are developed by small, specialized teams under incentives that encourage the release of rapidly prototyped tooling without commensurate attention to engineering concerns, including performance and…
Stephen R. Piccolo, Michael B. Frampton
When reporting research findings, scientists document the steps they followed so that others can verify and build upon the research. When those steps have been described in sufficient detail that others can retrace the steps and obtain similar results, the research is said to be reproducible. Computers play a vital…
James S. Sims, William L. George, Steven G. Satterfield, Howard K. Hung + 21 more
'Howard K. Hung' 'John G. Hagedorn' 'Peter M. Ketcham' 'Terence J. Griffin' 'Stanley A. Hagstrom' 'Julien C. Franiatte' 'Garnett W. Bryant' 'W. Jaskólski' 'Nicos S. Martys' 'Charles E. Bouldin' 'Vernon Simmons' 'Oliver P. Nicolas' 'James A. Warren' 'Barbara A. am Ende' 'John E. Koontz' 'B. James Filla' 'Vital G.…