Amarasinghe, S.L., Ritchie, M.E., & Gouil, Q.
long-read-tools.org: an interactive catalogue of analysis methods for long-read sequencing data (2021).
https://doi.org/10.1093/gigascience/giab003
Amarasinghe, S.L., Su, S., Dong, X., Zappia, L., Ritchie, M.E., & Gouil, Q.
Opportunities and challenges in long-read sequencing data analysis.
Genome Biology 21, 30 (2020).
https://doi.org/10.1186/s13059-020-1935-5
LONG-READ-TOOLS is a catalogue of downstream analysis tools of real and synthetic long-read technologies.
The aim of this database is to provide researchers worldwide a gateway to access exisiting tools to use in their long-read based research.
LONG-READ-TOOLS is developed by the Ritchie Lab in
Walter and Eliza Hall Institute of Medical Research, Australia.
Our lab mainly focuses on bioinformatics, genomics, statistics and software development.
Long-read-tools.org was developed as an aid for analysis of long-read sequencing data
by researchers worldwide.
Read more on what we do here
We would love to hear your suggestions for the Long-Read-Tools! To contact us please fill in the form below or open an issue or pull request via GitHub