how to eliminate the effects of estimated insertion size distribution
Ben-unbelieveable opened this issue · comments
Recently, I was studying structural variation in the human genome and found that when I added some Reads to the Fastq file, the mapping results of previous reads in the fastq file changed. This is the problem I'm having. From the help documentation, I guess the reason is caused by the estimated insertion size distribution, but I don't know how to eliminate the difference caused by this problem to ensure that the result of each read comparison will not be interfered too much by other reads, such as How many reads do I need to provide at least to eliminate this interference? Or is there a way not to use the function of estimating inserts or to specify the expected insert size?
-I