What is the state-of-the-art to obtain SNVs from circulating tumor DNA after Illumina sequencing? This is, finding a list of nucleotide locations that show tumour SNVs filtered out of any germline polymorphisms.
Found so far:
MuTect: running it against a synthetic normal for unmatched cfDNA samples that don't have normal, then filtering for 1000G germline mutations.
CaVEMan: running it against a reference normal for unmatched cfDNA samples that don't have equivalent normal, then filtering for 1000G germline mutations.
ShearWater: corrects against germline mutations by training against a set of healthy normal samples.