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3543b082-9077-492e-a4c7-a3b7c8bb39e8

Assigned to 6 classes:

Described in 2 nanopublications:

References

Nanopublication Part Subject Predicate Object Published By Published On
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
3543b082-9077-492e-a4c7-a3b7c8bb39e8
RO-Crate Bot
2026-03-03T14:07:36.341Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
3543b082-9077-492e-a4c7-a3b7c8bb39e8
RO-Crate Bot
2026-03-03T14:07:36.341Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
3543b082-9077-492e-a4c7-a3b7c8bb39e8
RO-Crate Bot
2026-03-03T14:07:36.341Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
3543b082-9077-492e-a4c7-a3b7c8bb39e8
Polyadenylation is a dynamic process which is important in cellular physiology. Oxford Nanopore Technologies direct RNA-sequencing provides a strategy for sequencing the full-length RNA molecule and analysis of the transcriptome and epi-transcriptome. There are currently several tools available for poly(A) tail-length estimation, including well-established tools such as tailfindr and nanopolish, as well as two more recent deep learning models: Dorado and BoostNano. However, there has been limited benchmarking of the accuracy of these tools against gold-standard datasets. In this paper we evaluate four poly(A) estimation tools using synthetic RNA standards (Sequins), which have known poly(A) tail-lengths and provide a valuable approach to measuring the accuracy of poly(A) tail-length estimation. All four tools generate mean tail-length estimates which lie within 12% of the correct value. Overall, Dorado is recommended as the preferred approach due to its relatively fast run times, low coefficient of variation and ease of use with integration with base-calling.
RO-Crate Bot
2026-03-03T14:07:36.341Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
3543b082-9077-492e-a4c7-a3b7c8bb39e8
Supporting data for "Using synthetic RNA to benchmark poly(A) length inference from direct RNA sequencing."
RO-Crate Bot
2026-03-03T14:07:36.341Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
3543b082-9077-492e-a4c7-a3b7c8bb39e8
RO-Crate Bot
2026-03-03T14:07:36.341Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
3543b082-9077-492e-a4c7-a3b7c8bb39e8
RO-Crate Bot
2026-03-03T14:07:36.341Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
3543b082-9077-492e-a4c7-a3b7c8bb39e8
RO-Crate Bot
2026-03-03T14:07:36.341Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
3543b082-9077-492e-a4c7-a3b7c8bb39e8
RO-Crate Bot
2026-03-03T14:07:36.341Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
3543b082-9077-492e-a4c7-a3b7c8bb39e8
RO-Crate Bot
2026-03-03T14:07:36.341Z