SQANTI3: curation of long-read transcriptomes for accurate identification of known and novel isoforms.

Francisco J Pardo-Palacios Angeles Arzalluz-Luque Liudmyla KondratovaPedro SalgueroJorge Mestre-Tomás Rocío Amorín Eva Estevan-Morió Tianyuan LiuAdalena NanniLauren McIntyreElizabeth TsengAna Conesa

Published in: Nature methods (2024)

SQANTI3 is a tool designed for the quality control, curation and annotation of long-read transcript models obtained with third-generation sequencing technologies. Leveraging its annotation framework, SQANTI3 calculates quality descriptors of transcript models, junctions and transcript ends. With this information, potential artifacts can be identified and replaced with reliable sequences. Furthermore, the integrated functional annotation feature enables subsequent functional iso-transcriptomics analyses.

Keyphrases

rna seq
single cell
quality control
single molecule
machine learning
high resolution
healthcare
quality improvement
magnetic resonance
social media
neural network