I was wondering if anyone could recommend a good review highlighting the state of the NGS field for applications like classifier generation (prognostics and diagnostics), SNP association studies etc. My main area of interest is cancer.
Obviously NGS has been shown to have many strengths over microarrays and has proven itself in areas like transcript discovery but in areas like classifier generation it may not yet be so strong due to inter-individual variation/noise & the number of samples required to correct this etc.
I am new to the field and would just like a good overview of where the strengths and weaknesses are and what remains to be done before these more advanced applications are possible.
ANY input would be greatly appreciated.
Thanks a lot in advance,