A linear model for predicting performance of short-read aligners using genome complexity

摘要

The effectiveness and accuracy of aligning short reads togenomes have an important impact on many applicationsthat rely on next-generation sequencing data. The computationalrequirements and material cost for aligning largescaleshort reads to genomes is also expensive. To preventwasted time and resources for aligning short reads, weinvestigated the different measures of genome complexity[1] that correlated best to the performance of alignment topropose a linear model for each aligning method [2].