13 papers · ranked by Valyu relevance
Althea Hansel-Harris, Andreas Tillack, Diogo Santos-Martins, Matthew Holcomb + 1 more
Virtual screening using molecular docking is now routinely used for the rapid evaluation of very large ligand libraries. As such, it has become an increasingly common approach in early-stage drug discovery. These screenings generate large amounts of data proportional to the size of the compound library used, which must…
Venus N. Sherathiya, Michael D. Schaid, Jillian L. Seiler, Gabriela C. Lopez + 1 more
Fiber photometry (FP) is an adaptable method for recording in vivo neural activity in freely behaving animals. It has become a popular tool in neuroscience due to its ease of use, low cost, the ability to combine FP with freely moving behavior, among other advantages. However, analysis of FP data can be challenging for…
Urminder Singh, Jing Li, Arun Seetharam, Eve Syrkin Wurtele
The availability of terabytes of RNA-Seq data and continuous emergence of new analysis tools, enable unprecedented biological insight. There is a pressing requirement for a framework that allows for fast, efficient, manageable, and reproducible RNA-Seq analysis. We have developed a Python package, (pyrpipe), that…
Muhammad Aziz
Computational chemistry software designed to compute the chemical properties of compounds falls under the category of dry research. The computational calculation of chemicals is a broad term. In this current study, chemical properties are estimated through computational methods, which is valuable for newly synthesis…
Kenzo-Hugo Hillion, Ivan Kuzmin, Anton Khodak, Eric Rasche + 4 more
'Michael Crusoe' 'Hedi Peterson' 'Jon Ison' 'Hervé Ménager'] Workbench and workflow systems such as Galaxy, Taverna, Chipster, or Common Workflow Language (CWL)-based frameworks, facilitate the access to bioinformatics tools in a user-friendly, scalable and reproducible way. Still, the integration of tools in such…
Anselm W. Hahn, Joseph Zsombor-Pindera, Pierre Kennepohl, Serena DeBeer
In chemistry, analyzing spectra through peak fitting is a crucial task that helps scientists extract useful quantitative information about a sample's chemical composition or electronic structure. To make this process more efficient, we have developed a new open-source software tool called SpectraFit. This tool allows…
Authors not listed
With the rapid growth of chemical data and information, there is an increasing need for chemistry undergraduates to master Python tools for analyzing large chemical datasets and extracting key or feature information. Currently, more than 100,000 types of metal-organic frameworks (MOFs), as the material recently awarded…
Erin Weisbart, Callum Tromans-Coia, Barbara Diaz-Rohrer, David R Stirling + 6 more
CellProfiler is a widely used software for creating reproducible, reusable image analysis workflows without needing to code. In addition to the >90 modules that make up the main CellProfiler program, CellProfiler has a plugins system that allows for the creation of new modules which integrate with other Python tools or…
Authors not listed
nDTomo is a Python-based software suite for the simulation, reconstruction and analysis of X-ray chemical imaging and computed tomography data. It provides a collection of Python function-based tools designed for accessibility and education as well as a graphical user interface (GUI). Prioritising transparency and ease…
Andrew G. D. Rowley, Christian Brenninkmeijer, Simon Davidson, Donal Fellows + 6 more
SpiNNaker is a massively parallel distributed architecture primarily focused on real time simulation of spiking neural networks. The largest realization of the architecture consists of one million general purpose processors, making it the largest neuromorphic computing platform in the world at the present time.…
Anup Kumar, Helena Rasche, Björn Grüning, Rolf Backofen
The Keras deep learning library is used for producing the neural network architectures . The trained model is saved as an H5 file to simplify its distribution to different Galaxy instances (Galaxy, [RRID:SCR_006281]()). The file is an HDF5 store containing the weights of different layers of the neural network and their…
J. Harry Moore, Matthias R. Bauer, Jeff Guo, Atanas Patronov + 2 more
We present Icolos, a workflow manager written in Python as a tool for automating complex structure-based workflows. Icolos can be used as a standalone tool, for example in virtual screening campaigns, or can be used in conjunction with deep learning-based molecular generation facilitated for example by REINVENT, a…
Marcel Friedrichs, Alban Shoshi, Piotr Jaroslaw Chmura, Jon Ison + 4 more
JIB.tools 2.0 is a new approach to more closely embed the curation process in the publication process. This website hosts the tools, software applications, databases and workflow systems published in the Journal of Integrative Bioinformatics (JIB). As soon as a new tool-related publication is published in JIB, the tool…