hCoCena - horizontal integration and analysis of transcriptomics datasets
hCoCena is an R-package that allows you to comprehensively and easily analyse your transcriptomics data. It also provides the option to integrate several datasets using a network-based integration approach and analyse them jointly. Tutorials and a Docker image exist to help you get to know the tool.
Description
hCoCena offers a suite of functionalities that you can pick & mix to create a custom gene co-expression analysis for your transcriptomics data.
If you have more than one dataset that you want to analyse jointly, hCoCena provides you with the option to conduct a network-based integration to merge your datasets prior to the analysis.
The tool comes as an R-package together with an extensive and interactive tutorial as well as a Docker image to make the introduction to the tool as smooth as possible.
While hCoCena offers already a wide variety of analysis options you can choose from, custom function can easily be added.
An extensive Wiki is part of the GitHub repository, providing a lot of background information on functions, underlying methods and the structure of the hCoCena object (hcobject).
More details including a showcase analysis an be found in the paper.
- GPL-3.0-only
Participating organisations
Mentions
- 1.Author(s): Emma J. Kooistra, Kilian Dahm, Antonius E. van Herwaarden, Jelle Gerretsen, Melanie Nuesch Germano, Karoline Mauer, Ruben L. Smeets, Sjef van der Velde, Maarten J. W. van den Berg, Johannes G. van der Hoeven, Anna C. Aschenbrenner, Joachim L. Schultze, Thomas Ulas, Matthijs Kox, Peter PickkersPublished in Respiratory Research by Springer Science and Business Media LLC in 202310.1186/s12931-023-02496-1
- 2.Author(s): Caterina Carraro, Lorenzo Bonaguro, Jonas Schulte-Schrepping, Arik Horne, Marie Oestreich, Stefanie Warnat-Herresthal, Tim Helbing, Michele De Franco, Kristian Haendler, Sach Mukherjee, Thomas Ulas, Valentina Gandin, Richard Goettlich, Anna C Aschenbrenner, Joachim L Schultze, Barbara GattoPublished in eLife by eLife Sciences Publications, Ltd in 202210.7554/elife.78012
- 3.Author(s): Lorenzo Bonaguro, Jonas Schulte-Schrepping, Caterina Carraro, Laura L. Sun, Benedikt Reiz, Ioanna Gemünd, Adem Saglam, Souad Rahmouni, Michel Georges, Peer Arts, Alexander Hoischen, Leo A.B. Joosten, Frank L. van de Veerdonk, Mihai G. Netea, Kristian Händler, Sach Mukherjee, Thomas Ulas, Joachim L. Schultze, Anna C. AschenbrennerPublished in iScience by Elsevier BV in 2022, page: 10532810.1016/j.isci.2022.105328
- 4.Author(s): Marie Oestreich, Lisa Holsten, Shobhit Agrawal, Kilian Dahm, Philipp Koch, Han Jin, Matthias Becker, Thomas UlasPublished in Bioinformatics by Oxford University Press (OUP) in 2022, page: 4727-473410.1093/bioinformatics/btac589
- 5.Author(s): German COVID-19 Omics Initiative (DeCOI), Anna C. Aschenbrenner, Maria Mouktaroudi, Benjamin Krämer, Marie Oestreich, Nikolaos Antonakos, Melanie Nuesch-Germano, Konstantina Gkizeli, Lorenzo Bonaguro, Nico Reusch, Kevin Baßler, Maria Saridaki, Rainer Knoll, Tal Pecht, Theodore S. Kapellos, Sarandia Doulou, Charlotte Kröger, Miriam Herbert, Lisa Holsten, Arik Horne, Ioanna D. Gemünd, Nikoletta Rovina, Shobhit Agrawal, Kilian Dahm, Martina van Uelft, Anna Drews, Lena Lenkeit, Niklas Bruse, Jelle Gerretsen, Jannik Gierlich, Matthias Becker, Kristian Händler, Michael Kraut, Heidi Theis, Simachew Mengiste, Elena De Domenico, Jonas Schulte-Schrepping, Lea Seep, Jan Raabe, Christoph Hoffmeister, Michael ToVinh, Verena Keitel, Gereon Rieke, Valentina Talevi, Dirk Skowasch, N. Ahmad Aziz, Peter Pickkers, Frank L. van de Veerdonk, Mihai G. Netea, Joachim L. Schultze, Matthijs Kox, Monique M. B. Breteler, Jacob Nattermann, Antonia Koutsoukou, Evangelos J. Giamarellos-Bourboulis, Thomas UlasPublished in Genome Medicine by Springer Science and Business Media LLC in 202110.1186/s13073-020-00823-5