Somatic mutation detection

Beschreibung

Incorporate five somatic mutation callers
Logust Yu
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Logust Yu
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Zusammenfassung der Ressource

Somatic mutation detection
  1. Tools available
    1. SomaticSeq, Fang 2015

      Anmerkungen:

      • Incorporate the following five somatic mutation callers
      1. MuTect

        Anmerkungen:

        • MuTect performed the best when the normal contained no tumor contamination (see Additional file 1: Tables S2 and S3). It was by far the most sensitive tool among those we have tested when the normal was pure and tumor VAF was very low.     
        1. JointSNVMix2
          1. VarScan2
            1. VarDict

              Anmerkungen:

              • Good for high depth, up to 1e5. VarDict was the best indel detector when the VAF dipped below 50 %. 
              1. SomaticSniper
                1. multiSNV

                  Anmerkungen:

                  • takes multiple tumor sam- ples from the same patients to take advantage of evo- lution modeling in heterogeneous cancers to increase the sensitivity and specificity of somatic mutation detec- tion
                  1. QQSNV

                    Anmerkungen:

                    • http://www.biomedcentral.com/1471-2105/16/379 Good for deep sequencing over a small region.
                    1. ShoRAH, V-Phaser 2, LoFreq, deepSNV, and RVD

                      Anmerkungen:

                      • Mostly devised for virus. Including QQSNV
                    2. highlighted researches
                      1. Considerations on the mutational rate of the LR PCR
                        1. LR-PCR
                          1. de novo assembly

                            Anmerkungen:

                            • Doesn't work atm. might need to extract seqs aligned to ABCA4 first before de novo
                            1. Mutations on promoters/splice site/histone markers
                              1. Use Exom sequencing result to estimate polymerase error-rate

                                Anmerkungen:

                                • Not necessary, since the error rate is supposed to be limited, given the DNA sample's good quality
                                1. Use CADD / VAAS2 to re-predict deleterious mutations
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