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

Francisco J Pardo-PalaciosAngeles Arzalluz-LuqueLiudmyla KondratovaPedro SalgueroJorge Mestre-TomásRocío AmorínEva Estevan-MorióTianyuan 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
  • high resolution
  • magnetic resonance imaging
  • healthcare
  • risk assessment
  • quality improvement
  • human health
  • image quality