Transcriptome assembly from long-read RNA-seq alignments with StringTie2.

> 商业许可源文 · EUROPE_PMC · [CC-BY](https://creativecommons.org/licenses/by/)

书目信息

引用：Kovaka S, Zimin AV, Pertea GM, Razaghi R, Salzberg SL, Pertea M. (2019). Transcriptome assembly from long-read RNA-seq alignments with StringTie2. Genome biology. PMID 31842956 · PMC6912988 · DOI 10.1186/s13059-019-1910-1

证据类型：BENCHMARK

主题：rna-seq

被引次数（采集时）：1642

原始记录：[Europe PMC](https://europepmc.org/article/MED/31842956)

来源许可：[CC-BY](https://creativecommons.org/licenses/by/)

作者摘要（按来源许可复用）

RNA sequencing using the latest single-molecule sequencing instruments produces reads that are thousands of nucleotides long. The ability to assemble these long reads can greatly improve the sensitivity of long-read analyses. Here we present StringTie2, a reference-guided transcriptome assembler that works with both short and long reads. StringTie2 includes new methods to handle the high error rate of long reads and offers the ability to work with full-length super-reads assembled from short reads, which further improves the quality of short-read assemblies. StringTie2 is more accurate and faster and uses less memory than all comparable short-read and long-read analysis tools.

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