12 papers · ranked by Valyu relevance
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'…
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…
Maximilian H. Kriebel, Paweł Tecmer, Marta Gałyńska, Aleksandra Leszczyk + 1 more
Coupled-Cluster Implementations: A Comparison Between CPUs and GPUs Authors: Maximilian H. Kriebel, Paweł Tecmer, Marta Gałyńska, Aleksandra Leszczyk, Katharina Boguslawski In this work, we benchmark several Python routines for time and memory requirements to identify the optimal choice of the tensor contraction…
Ralf Biehl, Alejandro Fernandez-Martinez
The aim of Jscatter is the processing of experimental data and physical models with the focus to enable the user to develop/modify their own models and use them within experimental data evaluation. The basic structures dataArray and dataList contain matrix-like data of different size including attributes to store…
Laurent P. René de Cotret, Martin R. Otto, Mark J. Stern, Bradley J. Siwick
This paper details a software ecosystem comprising three free and open-source Python packages for processing raw ultrafast electron scattering (UES) data and interactively exploring the processed data. The first package, iris, is graphical user-interface program and library for interactive exploration of UES data.…
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…
Brandon M. Pardi, Syeda Tajin Ahmed, Silvia Jonguitud Flores, Warren Flores + 3 more
Here, we present a Python based software that allows for the rapid visualization, data mining, and basic model applications of quartz crystal microbalance with dissipation data. Our implementation begins with a Tkinter GUI to prompt the user for all required information, such as file name/location, selection of…
Yajushi Khurana, Keisuke Ishihara
Three-dimensional biological morphologies encode functional and physiological state, yet the directional, orientational, and topological properties of these shapes are rarely captured by morphometric tools available for bioimage analysis. Minkowski tensors are mathematically rigorous tensor-valued measures that encode…
Fabian Woller, Lis Arend, Christian Fuchsberger, Markus List + 1 more
For each supported test, the output is represented by a Python dictionary that stores data matrices with the user-requested output (P-values, adjusted P-values, and/or effect sizes). We store output matrices as 2-dimensional objects of the same type as the input data (i.e., as NumPy arrays, PyTorch tensors, or pandas…
Patrick Ropp, Aaron Friedman, Jacob D. Durrant
Third-party packages have transformed the Python programming language into a powerful computational-biology tool. Package installation is easy for experienced users, but novices sometimes struggle with dependencies and compilers. This presents a barrier that can hinder the otherwise broad adoption of new tools. We…
Svenn-Arne Dragly, Milad Hobbi Mobarhan, Mikkel Lepperød, Simen Tennøe + 3 more
Natural sciences generate an increasing amount of data in a wide range of formats developed by different research groups and commercial companies. At the same time there is a growing desire to share data along with publications in order to enable reproducible research. Open formats have publicly available…
Wouter De Coster, Svenn D’Hert, Darrin T. Schultz, Marc Cruts + 1 more
Summary: Here we describe NanoPack, a set of tools developed for visualization and processing of long read sequencing data from Oxford Nanopore Technologies and Pacific Biosciences. Availability and Implementation: The NanoPack tools are written in Python3 and released under the GNU GPL3.0 Licence. The source code can…