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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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    Journal Article
  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

    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
  6. 6

    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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    Journal Article
  7. 7

    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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    Journal Article
  8. 8

    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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    Journal Article
  9. 9

    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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    Journal Article
  10. 10

    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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    Journal Article
  11. 11

    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
  12. 12

    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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    Journal Article
  13. 13

    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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    Journal Article
  14. 14

    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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    Journal Article
  15. 15

    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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    Journal Article
  16. 16

    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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    Journal Article
  17. 17

    Nmrglue: an open source Python package for the analysis of multidimensional NMR data by Helmus, Jonathan J., Jaroniec, Christopher P.

    ISSN: 0925-2738, 1573-5001, 1573-5001
    Published: Dordrecht Springer Netherlands 01.04.2013
    Published in Journal of biomolecular NMR (01.04.2013)
    “… When used in combination with other Python scientific libraries, nmrglue provides a highly flexible and robust environment for spectral processing, analysis and visualization and includes a number…”
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    Journal Article
  18. 18

    LiPydomics: A Python Package for Comprehensive Prediction of Lipid Collision Cross Sections and Retention Times and Analysis of Ion Mobility-Mass Spectrometry-Based Lipidomics Data by Ross, Dylan H, Cho, Jang Ho, Zhang, Rutan, Hines, Kelly M, Xu, Libin

    ISSN: 1520-6882, 1520-6882
    Published: United States 17.11.2020
    Published in Analytical chemistry (Washington) (17.11.2020)
    “… Existing solutions for these data analysis challenges (i.e., multivariate statistics and lipid identification…”
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    Journal Article
  19. 19

    Dedenser: A Python Package for Clustering and Downsampling Chemical Libraries by Beck, Armen G, Fine, Jonathan, Lam, Yu-Hong, Sherer, Edward C, Regalado, Erik L, Aggarwal, Pankaj

    ISSN: 1549-960X, 1549-960X
    Published: United States 10.02.2025
    “…The screening of chemical libraries is an essential starting point in the drug discovery process. While some researchers desire a more thorough screening of…”
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    Journal Article
  20. 20

    PyCG: Practical Call Graph Generation in Python by Salis, Vitalis, Sotiropoulos, Thodoris, Louridas, Panos, Spinellis, Diomidis, Mitropoulos, Dimitris

    ISBN: 1665402962, 9781665402965
    ISSN: 1558-1225
    Published: IEEE 01.05.2021
    “… We propose a pragmatic, static approach for call graph generation in Python. We compute all assignment relations between program identifiers of functions, variables, classes, and modules through an inter-procedural analysis…”
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    Conference Proceeding