SQANTI3: curation of long-read transcriptomes for accurate identification of known and novel isoforms
Francisco J. Pardo-Palacios(Institute for Integrative Systems Biology), Ángeles Arzalluz-Luque(Institute for Integrative Systems Biology), Liudmyla Kondratova(University of Florida), Pedro Salguero(Universitat Politècnica de València), Jorge Mestre‐Tomás(Institute for Integrative Systems Biology), Rocío Amorín(University of Florida), Eva Estevan-Morió(Institute for Integrative Systems Biology), Tianyuan Liu(Institute for Integrative Systems Biology), Adalena V. Nanni(University of Florida), Lauren M. McIntyre(University of Florida), Elizabeth Tseng(Pacific Biosciences (United States)), Ana Conesa(Institute for Integrative Systems Biology)
Cited by 174Open Access
Abstract
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.
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