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• W4220914278 abstract "Full-length transcript reconstruction has a pivotal role in RNA-seq data analysis. In this research, we present a new genome-guided transcriptome assembly algorithm, namely Tiglon, which integrates multiple alignments of different mapping tools and builds the labeled splice graphs, followed by a label-based dynamic path-searching strategy to reconstruct the transcripts. We evaluate Tiglon on a simulated dataset and 12 real datasets under the Hisat2 and Star mappings. The results indicate that the integrating techniques of Tiglon exhibit great superiority over the state-of-the-art assemblers, including StringTie2 and Scallop, depending on Hisat2 alignments, Star alignments, or the merged alignments of both. Especially, Tiglon is significantly powerful in recovering lowly expressed transcripts." @default.
• W4220914278 created "2022-04-03" @default.
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• W4220914278 date "2022-04-01" @default.
• W4220914278 modified "2023-10-16" @default.
• W4220914278 title "Tiglon enables accurate transcriptome assembly via integrating mappings of different aligners" @default.
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• W4220914278 doi "https://doi.org/10.1016/j.isci.2022.104067" @default.
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