Hi folks,
I am new to high-throughput sequencing and my lab has generated ChIP-seq data using Illumina.
Does anybody know why would the total number of reads vary from sample to sample? Our first runs yielded about 17M reads. The last time, 2 samples had a total of 25M reads (one was input/control and another a TF).
Supposedly, the DNA concentrations are normalized for sequencing.
However, we do know that the 2 samples with more reads had initially much more DNA, so it is very tempting to believe that the normalization done was not that good.
Does anybody know of other reasons why one would obtain more reads in a lane?
Thanks in advance!
I am new to high-throughput sequencing and my lab has generated ChIP-seq data using Illumina.
Does anybody know why would the total number of reads vary from sample to sample? Our first runs yielded about 17M reads. The last time, 2 samples had a total of 25M reads (one was input/control and another a TF).
Supposedly, the DNA concentrations are normalized for sequencing.
However, we do know that the 2 samples with more reads had initially much more DNA, so it is very tempting to believe that the normalization done was not that good.
Does anybody know of other reasons why one would obtain more reads in a lane?
Thanks in advance!
Comment