Interactive visualization of nanopore sequencing signal data with <i>Squigualiser</i>
Squigualiser is an open-source package under an MIT licence: https://github.com/hiruna72/squigualiser. The software was developed using Python 3.8 and can be installed with pip or bioconda or executed directly using prebuilt binaries provided with each release.
Authors
- Sri Parameswaran (ORCID: https://orcid.org/0000-0003-0435-9080)
- Hasindu Gamaarachchi (ORCID: https://orcid.org/0000-0002-9034-9905)
- James M. Ferguson (ORCID: https://orcid.org/0000-0002-6192-6937)
- Hiruna Samarakoon (ORCID: https://orcid.org/0000-0002-5812-1046)
- Kisaru Liyanage (ORCID: https://orcid.org/0000-0002-6892-9495)
- Ira W. Deveson (ORCID: https://orcid.org/0000-0003-3861-0472)
Institutions
- The University of Sydney (AU)
- Garvan Institute of Medical Research (AU)
- UNSW Sydney (AU)
- St Vincent's Clinic (AU)
- Murdoch Children's Research Institute (AU)
Publication Details
- Journal
- Bioinformatics
- Published
- 2024-08-01
- DOI
- https://doi.org/10.1093/bioinformatics/btae501
- Citations
- 12
- Primary Topic
- Genomics and Phylogenetic Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.81
Funders
- Australian Government