Center for Bioinformatics and Computational Biology, Institute for Advanced Computer Studies, University of Maryland, College Park, Maryland, USA.
Nat Methods. 2012 Mar 4;9(4):357-9. doi: 10.1038/nmeth.1923.
As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
随着测序速度的提高,读对齐器需要更高的吞吐量。全文微索引通常用于使对齐非常快速和内存高效,但该方法不适合寻找更长的、有间隙的对齐。Bowtie 2 将全文微索引的优势与硬件加速动态编程算法的灵活性和速度相结合,实现了高速、高灵敏度和高精度的组合。