Pardo-Palacios FJ, Wang D, Reese F, Diekhans M, Carbonell-Sala S, Williams B, Loveland JE, De MarĂa
M, Adams MS, Balderrama-Gutierrez G et al.
Systematic assessment of long-read RNA-seq methods for transcript identification and
quantification.
Nat Methods. 2024 Jul;21(7):1349-1363.
PMID: 38849569; PMC:
The Long-read RNA-seq Genome Annotation Assessment Project challenge has
completed. This site links to all of the code and data associated with the project The Long-read RNA-seq Genome Annotation Assessment Project (LRGASP)
Consortium organized a systematic evaluation of different methods for
transcript computational identification and quantification using long-read
sequencing technologies such as PacBio and Oxford Nanopore. We are
interested in characterizing the strengths and potential remaining
challenges in using these technologies to annotate and quantify the
transcriptomes of both model and non-model organisms. The consortium has generated cDNA and direct RNA datasets using different
platforms and protocols in human, mouse, and manatee samples. Participants
were provided with the data to generate annotations of expressed genes and
transcripts as well as measure their expression levels. Evaluators from
different institutions determined which pipelines have the highest
accuracy for different aspects that include transcription detection,
quantification and differential expression.Challenge Data
Data provide to challenge participants:
Challenge Results
LRGASP Consortium Organizers
Contact
LRGASP Project Support