spectrum_utils: A Python package for mass spectrometry data processing and visualization
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[1] Siu Kwan Lam,et al. Numba: a LLVM-based Python JIT compiler , 2015, LLVM '15.
[2] Henry H N Lam,et al. Proteome Informatics Research Group (iPRG)_2012: A Study on Detecting Modified Peptides in a Complex Mixture* , 2013, Molecular & Cellular Proteomics.
[3] Wout Bittremieux,et al. Extremely fast and accurate open modification spectral library searching of high-resolution mass spectra using feature hashing and graphics processing units , 2019 .
[4] P. Dorrestein,et al. Investigation of Premyrsinane and Myrsinane Esters in Euphorbia cupanii and Euphobia pithyusa with MS2LDA and Combinatorial Molecular Network Annotation Propagation. , 2019, Journal of natural products.
[5] Mathias Wilhelm,et al. Building ProteomeTools based on a complete synthetic human proteome , 2017, Nature Methods.
[6] Michael Hippler,et al. pymzML v2.0: introducing a highly compressed and seekable gzip format , 2018, Bioinform..
[7] Kristian Fog Nielsen,et al. Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking , 2016, Nature Biotechnology.
[8] Franciane Regina Vargas,et al. Protocol for Community-created Public MS/MS Reference Library Within the GNPS Infrastructure , 2019 .
[9] Wes McKinney,et al. Data Structures for Statistical Computing in Python , 2010, SciPy.
[10] Michael Specht,et al. pymzML - Python module for high-throughput bioinformatics on mass spectrometry data , 2012, Bioinform..
[11] Martin Eisenacher,et al. Proteomics Standards Initiative: Fifteen Years of Progress and Future Work , 2017, Journal of proteome research.
[12] Knut Reinert,et al. OpenMS – An open-source software framework for mass spectrometry , 2008, BMC Bioinformatics.
[13] Wout Bittremieux,et al. Fast Open Modification Spectral Library Searching through Approximate Nearest Neighbor Indexing. , 2018, Journal of proteome research.
[14] Lennart Martens,et al. mzML—a Community Standard for Mass Spectrometry Data* , 2010, Molecular & Cellular Proteomics.
[15] Lars Malmström,et al. pyOpenMS: A Python‐based interface to the OpenMS mass‐spectrometry algorithm library , 2014, Proteomics.
[16] Jeff A. Bilmes,et al. A learned embedding for efficient joint analysis of millions of mass spectra , 2018, Nature Methods.
[17] Renan Valieris,et al. Bioconda: sustainable and comprehensive software distribution for the life sciences , 2018, Nature Methods.
[18] John D. Hunter,et al. Matplotlib: A 2D Graphics Environment , 2007, Computing in Science & Engineering.
[19] et al.,et al. Jupyter Notebooks - a publishing format for reproducible computational workflows , 2016, ELPUB.
[20] Lev I Levitsky,et al. Pyteomics—a Python Framework for Exploratory Data Analysis and Rapid Software Prototyping in Proteomics , 2013, Journal of The American Society for Mass Spectrometry.
[21] K. Reinert,et al. OpenMS: a flexible open-source software platform for mass spectrometry data analysis , 2016, Nature Methods.
[22] Arvind Satyanarayan,et al. Altair: Interactive Statistical Visualizations for Python , 2018, J. Open Source Softw..
[23] Arvind Satyanarayan,et al. Vega-Lite: A Grammar of Interactive Graphics , 2018, IEEE Transactions on Visualization and Computer Graphics.
[24] Lev I Levitsky,et al. Pyteomics 4.0: Five Years of Development of a Python Proteomics Framework. , 2018, Journal of proteome research.
[25] Kathryn S. Lilley,et al. MSnbase-an R/Bioconductor package for isobaric tagged mass spectrometry data visualization, processing and quantitation , 2012, Bioinform..
[26] Gaël Varoquaux,et al. Proceedings of the 20th Python in Science Conference 2021 (SciPy 2021), Virtual Conference, July 12 - July 18, 2021 , 2008, SciPy.
[27] Gaël Varoquaux,et al. The NumPy Array: A Structure for Efficient Numerical Computation , 2011, Computing in Science & Engineering.
[28] Wout Bittremieux,et al. 2018 YPIC Challenge: A case study in characterizing an unknown protein sample. , 2019, Journal of proteome research.