Chapter 7 Quality Check, Processing and Alignment of High-throughput Sequencing Reads
Advances in sequencing technology are helping researchers sequence the genome deeper than ever. These sequencing experiments typically yield millions of reads. These reads have to be further processed, quality checked and aligned before we can quantify the genomic signal of interest and apply statistics and/or machine learning methods. For example, you may want to count how many reads overlap with your promoter set of interest or you may want to quantify RNA-seq reads that overlap with exons. Post-alignment operations are usually, but not always, similar to operations on genomic intervals. Dealing with mapped reads is described previously in Chapter 6. In addition, we have introduced high-throughput sequencing and its applications in general in Chapter 1. In this chapter we will introduce the fundamentals of read processing and quality check, and we will show how to do those tasks in R. The read quality check and processing is a fundamental step in all high-throughput sequencing analyses. For example, RNA-seq, ChIP-seq and BS-seq analyses shown in Chapters 8, 9 and 10 require these quality check and processing steps prior to further analysis. For a long time, quality check and mapping tasks were outside the R domain. However, nowadays certain packages in R/Bioconductor can accomplish those tasks.