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- W4318465612 abstract "Long-read sequencing technologies demonstrate high potential for de novo discovery of complex transcript isoforms, but high error rates pose a significant challenge. Existing error correction methods rely on clustering reads based on isoform-level alignment and cannot be efficiently scaled. We propose a new method, I-CONVEX, that performs fast, alignment-free isoform clustering with almost linear computational complexity, and leads to better consensus accuracy on simulated, synthetic, and real datasets." @default.
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- W4318465612 date "2023-01-01" @default.
- W4318465612 modified "2023-10-16" @default.
- W4318465612 title "I-CONVEX: Fast and Accurate de Novo Transcriptome Recovery from Long Reads" @default.
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- W4318465612 doi "https://doi.org/10.1007/978-3-031-23633-4_23" @default.
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