UTAP2: an enhanced user-friendly transcriptome and epigenome analysis pipeline
Our User-friendly Transcriptome and Epigenome Analysis Pipeline UTAP2 is available to the broader biomedical research community as an open-source installation. With a single image, it can be installed on both local servers and cloud platforms, allowing users to leverage parallel cluster resources. Once installed UTAP2 enables researchers, even those with limited bioinformatics skills to efficiently, accurately and reliably analyse transcriptome and epigenome sequence data.
Authors
- Gil Stelzer (ORCID: https://orcid.org/0000-0001-9368-4912)
- Ester Feldmesser (ORCID: https://orcid.org/0000-0002-7017-4861)
- Bareket Dassa (ORCID: https://orcid.org/0000-0002-5226-7554)
- Noa Wigoda (ORCID: https://orcid.org/0000-0002-4496-881X)
- J Lindner (ORCID: https://orcid.org/0000-0002-8897-7494)
- Dena Leshkowitz (ORCID: https://orcid.org/0000-0002-4703-2830)
- Jaime Prilusky (ORCID: https://orcid.org/0000-0002-7019-0191)
Institutions
- Weizmann Institute of Science (IL)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-03-07
- DOI
- https://doi.org/10.1186/s12859-025-06090-8
- Citations
- 10
- Primary Topic
- Epigenetics and DNA Methylation
- Type
- article
- Field-Weighted Citation Impact
- 8.06