關於「Bowtie alignment」標籤，搜尋引擎有相關的訊息討論：

Bowtie 2: Manual - SourceForge。

Bowtie 2 supports local alignment, which doesn't require reads to align end-to-end. Local alignments ...： 。

Bowtie 2: fast and sensitive read alignment - SourceForge。

Bowtie 2 is an ultrafast and memory-efficient tool for aligning sequencing reads to long reference sequences. It is particularly good at aligning reads of about ...： 。

Alignment and mapping methodology influence transcript ...。

2020年9月7日 · Bowtie2—Alignment with Bowtie2 to the target transcriptome and allowing alignments with indels, followed by quantification using Salmon in ...： tw | tw。

Ultrafast and memory-efficient alignment of short DNA - Genome ...。

2009年3月4日 · Bowtie is an ultrafast, memory-efficient alignment program for aligning short DNA sequence reads to large genomes. For the human genome, ...： 。

Aligning short sequencing reads with Bowtie - NCBI。

The Bowtie (Langmead et al. 2009) package enables ultrafast and memory-efficient alignment of large sets of sequencing reads to a reference sequence, such as ...： 。

Fast gapped-read alignment with Bowtie 2 - NCBI。

2012年3月4日 · Alignment gaps can result either from sequencing errors or from true insertions and deletions. Ungapped aligners such as Bowtie will usually ...： 。

Bowtie | FSU Research Computing Center。

Introduction. Bowtie is a powerful, efficient and fast bioinformatics program designed to align short genetic sequence reads with low memory requirements ...。

Systems Medicine: Integrative, Qualitative and Computational ...。

Aligning short sequencing reads with bowtie. ... Fast gapped-read alignment with bowtie 2. ... T.W., Yiu, S.M., Kristiansen, K., et al., 2009a.。

Metagenomics for Microbiology。

Rosen GL, Reichenberger ER, Rosenfeld AM. ... Diaz NN, Krause L, Goesmann A, Niehaus K, Nattkemper TW. ... Fast gapped-read alignment with Bowtie 2.。

Bioinformatics in Microbiota。

Fast gapped-read alignment with Bowtie 2. Nat. Methods 9,357–359. doi:10.1038/nmeth.1923 Li, D., Liu, C. M., Luo, R., Sadakane, K., and Lam, T. W. (2015).