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  1. 1

    GSEApy: a comprehensive package for performing gene set enrichment analysis in Python by Fang, Zhuoqing, Liu, Xinyuan, Peltz, Gary

    ISSN: 1367-4811, 1367-4803, 1367-4811
    Published: England Oxford University Press 01.01.2023
    Published in Bioinformatics (Oxford, England) (01.01.2023)
    “…Abstract Motivation Gene set enrichment analysis (GSEA) is a commonly used algorithm for characterizing gene expression changes…”
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    Journal Article
  2. 2

    Pyteomics—a Python Framework for Exploratory Data Analysis and Rapid Software Prototyping in Proteomics by Goloborodko, Anton A., Levitsky, Lev I., Ivanov, Mark V., Gorshkov, Mikhail V.

    ISSN: 1044-0305, 1879-1123, 1879-1123
    Published: New York Springer-Verlag 01.02.2013
    “…Pyteomics is a cross-platform, open-source Python library providing a rich set of tools for MS-based proteomics…”
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    Journal Article
  3. 3

    PypKa: A Flexible Python Module for Poisson-Boltzmann-Based pKa Calculations by Reis, Pedro B P S, Vila-Viçosa, Diogo, Rocchia, Walter, Machuqueiro, Miguel

    ISSN: 1549-960X, 1549-960X
    Published: 26.10.2020
    “…The protonation of titratable residues has a significant impact on the structure and function of biomolecules, influencing many physicochemical and ADME…”
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  4. 4

    Coherent manipulation of the internal state of ultracold 87Rb133Cs molecules with multiple microwave fields by Blackmore, Jacob A, Gregory, Philip D, Bromley, Sarah L, Cornish, Simon L

    ISSN: 1463-9084, 1463-9084
    Published: 21.12.2020
    Published in Physical chemistry chemical physics : PCCP (21.12.2020)
    “…We explore coherent multi-photon processes in 87Rb133Cs molecules using 3-level lambda and ladder configurations of rotational and hyperfine states, and discuss their relevance to future applications…”
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    Journal Article
  5. 5

    MechElastic: A Python library for analysis of mechanical and elastic properties of bulk and 2D materials by Singh, Sobhit, Lang, Logan, Dovale-Farelo, Viviana, Herath, Uthpala, Tavadze, Pedram, Coudert, François-Xavier, Romero, Aldo H.

    ISSN: 0010-4655, 1879-2944
    Published: United States Elsevier B.V 01.10.2021
    Published in Computer physics communications (01.10.2021)
    “…The MechElastic Python package evaluates the mechanical and elastic properties of bulk and 2D materials using the elastic coefficient matrix (Cij…”
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  6. 6

    scFates: a scalable python package for advanced pseudotime and bifurcation analysis from single-cell data by Faure, Louis, Soldatov, Ruslan, Kharchenko, Peter V, Adameyko, Igor

    ISSN: 1367-4811, 1367-4803, 1367-4811
    Published: England Oxford University Press 01.01.2023
    Published in Bioinformatics (Oxford, England) (01.01.2023)
    “…Abstract Summary scFates provides an extensive toolset for the analysis of dynamic trajectories comprising tree learning, feature association testing, branch differential expression and with a…”
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    Journal Article
  7. 7

    The fast azimuthal integration Python library: pyFAI by Ashiotis, Giannis, Deschildre, Aurore, Nawaz, Zubair, Wright, Jonathan P., Karkoulis, Dimitrios, Picca, Frédéric Emmanuel, Kieffer, Jérôme

    ISSN: 1600-5767, 0021-8898, 1600-5767
    Published: 5 Abbey Square, Chester, Cheshire CH1 2HU, England International Union of Crystallography 01.04.2015
    Published in Journal of applied crystallography (01.04.2015)
    “… It is written in Python (with binary submodules for improved performance), a language widely accepted and used by the scientific community today, which enables users to easily incorporate the pyFAI library into their processing pipeline…”
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  8. 8

    PyNoetic: A modular python framework for no-code development of EEG brain-computer interfaces by Singh, Gursimran, Chharia, Aviral, Upadhyay, Rahul, Kumar, Vinay, Longo, Luca

    ISSN: 1932-6203, 1932-6203
    Published: United States Public Library of Science 06.08.2025
    Published in PloS one (06.08.2025)
    “… PyNoetic is one of the very few frameworks in Python that encompasses the entire BCI design pipeline, from stimulus presentation and data…”
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  9. 9

    CRYSTALpytools: A Python infrastructure for the Crystal code by Camino, Bruno, Zhou, Huanyu, Ascrizzi, Eleonora, Boccuni, Alberto, Bodo, Filippo, Cossard, Alessandro, Mitoli, Davide, Ferrari, Anna Maria, Erba, Alessandro, Harrison, Nicholas M.

    ISSN: 0010-4655, 1879-2944
    Published: Elsevier B.V 01.11.2023
    Published in Computer physics communications (01.11.2023)
    “…CRYSTALpytools is an open source Python project available on GitHub that implements a user-friendly interface to the Crystal code for quantum-mechanical condensed matter simulations…”
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  10. 10

    Tensorpac: An open-source Python toolbox for tensor-based phase-amplitude coupling measurement in electrophysiological brain signals by Combrisson, Etienne, Nest, Timothy, Brovelli, Andrea, Ince, Robin A. A., Soto, Juan L. P., Guillot, Aymeric, Jerbi, Karim

    ISSN: 1553-7358, 1553-734X, 1553-7358
    Published: United States Public Library of Science 29.10.2020
    Published in PLoS computational biology (29.10.2020)
    “… Current research in the field is not only hampered by the absence of a gold standard for PAC analysis, but also by the computational costs of running exhaustive computations on large and high…”
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  11. 11

    Python-based reduced order quadrature building code for fast gravitational wave inference by Qi, Hong, Raymond, Vivien

    ISSN: 2470-0010, 2470-0029
    Published: College Park American Physical Society 15.09.2021
    Published in Physical review. D (15.09.2021)
    “… We describe a Python-based reduced order quadrature building code, pyroq, which builds the reduced order quadrature data needed to accelerate parameter estimation of gravitational waves…”
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  12. 12

    Micki: A python-based object-oriented microkinetic modeling code by Hermes, Eric D, Janes, Aurora N, Schmidt, J R

    ISSN: 1089-7690, 1089-7690
    Published: United States 07.07.2019
    Published in The Journal of chemical physics (07.07.2019)
    “… This Python-based code is modular and object oriented, framing the development of microkinetic models in familiar chemical terms…”
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  13. 13

    MEG and EEG data analysis with MNE-Python by Gramfort, Alexandre

    ISSN: 1662-453X, 1662-4548, 1662-453X
    Published: Switzerland Frontiers Research Foundation 26.12.2013
    Published in Frontiers in neuroscience (26.12.2013)
    “… As part of the MNE software suite, MNE-Python is an open-source software package that addresses this challenge by providing state-of-the-art algorithms implemented in Python that cover multiple…”
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  14. 14

    AMADAR: a python-based package for large scale prediction of Diels–Alder transition state geometries and IRC path analysis by Isamura, Bienfait K., Lobb, Kevin A.

    ISSN: 1758-2946, 1758-2946
    Published: Cham Springer International Publishing 15.06.2022
    Published in Journal of cheminformatics (15.06.2022)
    “…Predicting transition state geometries is one of the most challenging tasks in computational chemistry, which often requires expert-based knowledge and permanent human intervention…”
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  15. 15

    Functional Python Programming: Use a functional approach to write succinct, expressive, and efficient Python code by Lott, Steven F

    Published: Packt Publishing 2022
    “…Python isn’t all about object-oriented programming. Discover a valuable way of thinking about code design through a function-first approach…”
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    eBook
  16. 16

    Gnocis: An integrated system for interactive and reproducible analysis and modelling of cis-regulatory elements in Python 3 by Bredesen-Aa, Bjørn André, Rehmsmeier, Marc

    ISSN: 1932-6203, 1932-6203
    Published: San Francisco Public Library of Science 09.09.2022
    Published in PloS one (09.09.2022)
    “… methods for the genome-wide prediction of candidate CREs. We here present Gnocis, a Python package that streamlines the analysis and the modelling of CRE sequences…”
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  17. 17

    Short communication: age2exhume – a MATLAB/Python script to calculate steady-state vertical exhumation rates from thermochronometric ages and application to the Himalaya by van der Beek, Peter, Schildgen, Taylor F.

    ISSN: 2628-3719, 2628-3697, 2628-3719
    Published: Göttingen Copernicus GmbH 16.01.2023
    Published in Geochronology (Göttingen. Online) (16.01.2023)
    “… datasets in such models remains challenging. Here, we present age2exhume, a thermal model in the form of a MATLAB or Python script, which can be used to rapidly obtain…”
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  18. 18

    SBML2HYB: a Python interface for SBML compatible hybrid modeling by Pinto, José, Costa, Rafael S, Alexandre, Leonardo, Ramos, João, Oliveira, Rui

    ISSN: 1367-4811, 1367-4803, 1367-4811
    Published: England Oxford University Press 01.01.2023
    Published in Bioinformatics (Oxford, England) (01.01.2023)
    “…Abstract Summary Here, we present sbml2hyb, an easy-to-use standalone Python tool that facilitates the conversion of existing mechanistic models of biological systems in Systems Biology Markup Language (SBML…”
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  19. 19

    Bridging Python to Silicon: The SODA Toolchain by Agostini, Nicolas Bohm, Curzel, Serena, Zhang, Jeff Jun, Limaye, Ankur, Tan, Cheng, Amatya, Vinay, Minutoli, Marco, Castellana, Vito Giovanni, Manzano, Joseph, Brooks, David, Wei, Gu-Yeon, Tumeo, Antonino

    ISSN: 0272-1732, 1937-4143
    Published: Los Alamitos IEEE 01.09.2022
    Published in IEEE MICRO (01.09.2022)
    “…Systems performing scientific computing, data analysis, and machine learning tasks have a growing demand for application-specific accelerators that can provide high computational performance…”
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  20. 20

    VAMPyR-A high-level Python library for mathematical operations in a multiwavelet representation by Bjørgve, Magnar, Tantardini, Christian, Jensen, Stig Rune, Gerez S, Gabriel A, Wind, Peter, Di Remigio Eikås, Roberto, Dinvay, Evgueni, Frediani, Luca

    ISSN: 1089-7690, 1089-7690
    Published: United States 28.04.2024
    Published in The Journal of chemical physics (28.04.2024)
    “…), they provide a framework that narrows the gap between the theoretical formalism of the fundamental equations and the practical implementation in a working code…”
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