13 papers · ranked by Valyu relevance
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…
Florian Malard, Laura Danner, Emilie Rouzies, Jesse G Meyer + 2 more
Artificial Neural Networks (ANNs) have achieved unequaled performance for numerous problems in many areas of Science, Business, Public Policy, and more. While experts are familiar with performance-oriented software and underlying theory, ANNs are difficult to comprehend for non-experts because it requires skills in…
Mauro Silberberg, Henning Hermjakob, Rahuman S. Malik-Sheriff, Hernán E. Grecco
Chemical Reaction Networks (CRNs) play a pivotal role in diverse fields such as systems biology, biochemistry, chemical engineering, and epidemiology. High-level modelling of CRNs enables various simulation approaches, including deterministic and stochastic methods. However, existing Python tools for CRN modelling…
Robert Neil McArthur, Thomas King-Fung Wong, Yapeng Lang, Richard Andrew Morris + 4 more
piqtree (pronounced pie-cue-tree) is an easy to use, open-source Python package that provides Python script based control of IQ-TREE’s phylogenetic inference engine. piqtree builds IQ-TREE as a Python package, presenting a library of Python functions for performing many of IQ-TREE’s capabilities including phylogenetic…
Yangyang Li, Rendong Yang
We introduce PxBLAT, a Python library designed to enhance usability and efficiency in interacting with the BLAST-like alignment tool (BLAT). PxBLAT provides an intuitive application programming interface (API) design, allowing the incorporation of its functionality directly into Python-based bioinformatics workflows.…
Vasudha Jha, Robert H. Cudmore
Brightest path tracing is a widely used image processing technique in several fields including biology, geography, and geology. However, despite the availability of many image processing libraries in Python, few offer an out-of-the-box implementation of a bright-est path tracing algorithm. This paper presents a Python…
Abubakar Madika, Ankita Suri, Anjali Purohit, Damian Van Raad + 3 more
Saccharomyces cerevisiae is a widely used biotechnological workhorse in both academic and industrial settings. One reason for its continued popularity is the extensive legacy of genetic tools, developed over its long history of use, that enable precise manipulation of the S. cerevisiae genome. These tools have enabled…
Erick Martins Ratamero, Kiya Govek, Julio Mateos Langerak, Fernando Cervantes Sanchez + 1 more
Many research laboratories need to manage, process, and analyze the increasingly large volumes and complexity of data being produced by state-of-the-art bioimaging platforms. OMERO is a popular open-source client-server application that provides a unified interface for managing and working with bioimages and their…
Yun-Fei Liu, Marina Bedny
Programming is a cornerstone of modern society, yet its cognitive and neural basis remains poorly understood. In this study, we test the hypothesis that programming “recycles” pre-existing neural mechanisms and representations in fronto-parietal reasoning networks. Using fMRI, we scanned programming-naïve…
Guillaume Viejo, Daniel Levenstein, Sofia Skromne Carrasco, Dhruv Mehrotra + 6 more
Datasets collected in neuroscientific studies are of ever-growing complexity, often combining high dimensional time series data from multiple data acquisition modalities. Handling and manipulating these various data streams in an adequate programming environment is crucial to ensure reliable analysis, and to facilitate…
Boris Yamrom, Yoon-ha Lee, Steven Marks, Lubomir Chorbadjiev + 2 more
Snakemake is one of the most popular workflow management systems, particularly in biological sciences. Snakemake workflows are highly portable, scalable, and transparent. Moreover, they enable the painless reproduction of published results and adaption to similar data processing and analysis projects. Here we present…
Tyler Kolisnik, Faeze Keshavarz-Rahaghi, Rachel Purcell, Adam Smith + 1 more
Random Forest models are widely used in genomic data analysis and can offer insights into complex biological mechanisms, particularly where features influence the target in interactive, non-linear, or non-additive ways. Currently, some of the most efficient random forest methods, in terms of computational speed, are…
Yann Spöri, Jean-François Flot
Haxe is a general purpose, object-oriented programming language supporting syntactic macros. The Haxe compiler is well known for its ability to translate the source code of Haxe programs into the source code of a variety of other programming languages including Java, C++, JavaScript and Python. Although Haxe is…