2018
DOI: 10.1101/gr.239137.118
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Corrigendum: SQANTI: extensive characterization of long-read transcript sequences for quality control in full-length transcriptome identification and quantification

Abstract: et al. quality control in full-length transcriptome identification and quantification SQANTI: extensive characterization of long-read transcript sequences for

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Cited by 66 publications
(32 citation statements)
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“…Then, the collapsed transcripts were corrected using Illumina data with LoRDEC (Salmela and Rivals, 2014). Non-canonical splicing junctions caused by reverse-transcription artifacts were detected by applying the SQUANTI tool (Tardaguila et al, 2018).…”
Section: Pipeline For Iso-seq Analysismentioning
confidence: 99%
“…Then, the collapsed transcripts were corrected using Illumina data with LoRDEC (Salmela and Rivals, 2014). Non-canonical splicing junctions caused by reverse-transcription artifacts were detected by applying the SQUANTI tool (Tardaguila et al, 2018).…”
Section: Pipeline For Iso-seq Analysismentioning
confidence: 99%
“…( E ) Distribution of de novo transcriptome assembly transcripts among different structural categories when compared to NCBI predicted gene models. ( C – E ) Generated using SQANTI 21 . FSM full splice match, ISM incomplete splice match, NIC novel in catalogue, NNC novel not in catalogue (see Table S1 for explanation).…”
Section: Resultsmentioning
confidence: 99%
“…To derive the final transcriptome assembly, 3.9 million reads among all error corrected reads that were aligned at least 99% in length and with at least 95% identity were used. The de novo assembled transcriptome was analyzed using SQANTI 21 and PRAPI 22 . The transcriptome assembly contained a total of 10,840 genes of which 9072 genes matched the NCBI annotated genes, while 1768 genes were new, hereafter referred to as novel genes (Supplementary Table S6 ).…”
Section: Resultsmentioning
confidence: 99%
“…However, in the present investigation, due to cost, we decided to pool RNAs from a variety of tissues and used a strategy that would ensure some long reads. Also, we wanted to enhance sequences that may lead to the identification of splice variants, as the PacBio is the ideal Next Gen sequencer for this purpose ( 48 ). For this work, we used a single adult male FHM, to prevent confounding by single polymorphic sequences from a population of fish (Manuscript in preparation).…”
Section: Resultsmentioning
confidence: 99%