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  1. 1
    Anvi’o: an advanced analysis and visualization platform for ‘omics data

    Anvi’o: an advanced analysis and visualization platform for ‘omics data 由 A. Murat Eren, Özcan C. Esen, Christopher Quince, Joseph H. Vineis, Hilary G. Morrison, Mitchell L. Sogin, Tom O. Delmont

    出版 2015
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    Artigo
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  2. 2
    Epiviz: interactive visual analytics for functional genomics data

    Epiviz: interactive visual analytics for functional genomics data 由 Florin Chelaru, Llewellyn Smith, Naomi Goldstein, Héctor Corrada Bravo

    出版 2014
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  3. 3
    Guest Editors' Introduction: An Introduction to Interactive Sonification

    Guest Editors' Introduction: An Introduction to Interactive Sonification 由 Thomas Hermann, A. Hunt

    出版 2005
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  4. 4
    EMPeror: a tool for visualizing high-throughput microbial community data

    EMPeror: a tool for visualizing high-throughput microbial community data 由 Yoshiki Vázquez‐Baeza, Meg Pirrung, Antonio González, Rob Knight

    出版 2013
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  5. 5
    CellProfiler Analyst: interactive data exploration, analysis and classification of large biological image sets

    CellProfiler Analyst: interactive data exploration, analysis and classification of large biological image sets 由 David Dao, Adam Fraser, Jane Hung, Vebjorn Ljosa, Shantanu Singh, Anne E. Carpenter

    出版 2016
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  6. 6
    AliTV—interactive visualization of whole genome comparisons

    AliTV—interactive visualization of whole genome comparisons 由 Markus J. Ankenbrand, Sonja C.Y. Hohlfeld, Thomas Hackl, Frank Förster

    出版 2017
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  7. 7
    WebSpecmine: a website for metabolomics data analysis and mining.

    WebSpecmine: a website for metabolomics data analysis and mining. 由 Sara Cardoso, Miguel Rocha, Telma Afonso, Marcelo Maraschin

    出版 2018
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  8. 8
    The IntAct molecular interaction database in 2010

    The IntAct molecular interaction database in 2010 由 Bruno Aranda, Premanand Achuthan, Yasmin Alam-Faruque, Irina M. Armean, Alan Bridge, Cathy Derow, Marc Feuermann, Avazeh T. Ghanbarian, Samuel Kerrien, J. Khadake, Jules N. A. Kerssemakers, Catherine Leroy, Michael P. Menden, Magali Michaut, Luisa Montecchi‐Palazzi, Sigrid Neuhauser, Sandra Orchard, Victoria M. Perreau, Bernd Roechert, Kristel van Eijk, Henning Hermjakob

    出版 2009
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  9. 9
    HiPiler: Visual Exploration of Large Genome Interaction Matrices with Interactive Small Multiples

    HiPiler: Visual Exploration of Large Genome Interaction Matrices with Interactive Small Multiples 由 Fritz Lekschas, Benjamin Bach, Peter Kerpedjiev, Nils Gehlenborg, Hanspeter Pfister

    出版 2017
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  10. 10
    Software tools for visualizing Hi-C data

    Software tools for visualizing Hi-C data 由 Galip Gürkan Yardımcı, William Stafford Noble

    出版 2017
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    Revisão
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  11. 11
    Pavian: interactive analysis of metagenomics data for microbiome studies and pathogen identification

    Pavian: interactive analysis of metagenomics data for microbiome studies and pathogen identification 由 Florian P. Breitwieser, Steven L. Salzberg

    出版 2019
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  12. 12
    WebSpecmine: A Website for Metabolomics Data Analysis and Mining

    WebSpecmine: A Website for Metabolomics Data Analysis and Mining 由 Sara Cardoso, Telma Afonso, Marcelo Maraschin, Miguel Rocha

    出版 2019
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  13. 13
    Glycowork: A Python package for glycan data science and machine learning

    Glycowork: A Python package for glycan data science and machine learning 由 Luc Thomès, Rebekka Burkholz, Daniel Bojar

    出版 2021
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  14. 14
    A cross-package Bioconductor workflow for analysing methylation array data

    A cross-package Bioconductor workflow for analysing methylation array data 由 Jovana Maksimovic, Belinda Phipson, Alicia Oshlack

    出版 2016
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    Pré-impressão
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  15. 15
    PlayMolecule Viewer: A Toolkit for the Visualization of Molecules and Other Data

    PlayMolecule Viewer: A Toolkit for the Visualization of Molecules and Other Data 由 Mariona Torrens‐Fontanals, Panagiotis Tourlas, Stefan Doerr, Gianni De Fabritiis

    出版 2024
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  16. 16
    CZ CELLxGENE Discover: a single-cell data platform for scalable exploration, analysis and modeling of aggregated data

    CZ CELLxGENE Discover: a single-cell data platform for scalable exploration, analysis and modeling of aggregated data 由 Shibla Abdulla, Brian D. Aevermann, Pedro Assis, Seve Badajoz, Sidney M. Bell, Emanuele Bezzi, Batuhan Çakır, James Chaffer, Signe Chambers, J. Michael Cherry, Tiffany Chi, Jennifer Chien, Leah C. Dorman, Pablo E. García-Nieto, Nayib Gloria, Mim Hastie, Daniel Hegeman, Jason A. Hilton, Timmy Huang, Amanda Infeld, Ana-Maria Istrate, Ivana Jelic, Kuni Katsuya, Yang Joon Kim, Karen Liang, Mike C. Lin, Maximilian Lombardo, Bailey Marshall, Bruce Martin, Fran McDade, Colin Megill, Nikhil Patel, Alexander V. Predeus, Brian Raymor, Behnam Robatmili, Dave Rogers, Erica Rutherford, Dana Sadgat, Andrew Shin, Corinn Small, Trent M. Smith, Prathap Sridharan, Alexander J. Tarashansky, Norbert K. Tavares, Harley Thomas, Andrew Tolopko, Meghan Urisko, Joyce Yan, Garabet Yeretssian, Jennifer Zamanian, Arathi Mani, Jonah Cool, Ambrose Carr

    出版 2024
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