Base Caller Summaries

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Standard Illumina Base Caller

Sequencing-by-Synthesis (SBS)

  • DNA sample obtained, containing many copies of same sequences and randomly fragmented
  • Single-stranded DNA fragments attached to slide and amplified so there is a cluster of each fragment
  • DNA polymerase and 4 terminal bases (with distinct fluorescent markers) added
  • Clusters excited by lasers and photos taken in optimal wavelengths for 4 fluorophores
  • Fluorophores and terminators removed and process repeated for L cycles

Image Analysis

  • Corrects for imperfect repositioning of camera and aberrations of lens by aligning images to reference from original cycle
  • Signal for each cluster characterized as time series data of fluorescence intensities and noise

Base Calling

  • Converts fluorescence signals into actual sequence data with quality scores
  • Takes intensities of four channels for every cluster in each cycle and determines concentration of each base
  • Renormalizes concentrations by multiplying by ratio of average concentrations in first cycle and current cycle
  • Uses Markov model to determine transition matrix modeling probability of phasing (no new base synthesized), prephasing (two new bases synthesized), and normal incorporation
  • Uses transition matrix and observed concentrations of each base to determine concentrations in absence of phasing and reports these as base calls

General Noise Factors

  • Phasing
    • Failures in nucleotide incorporation or block removal or incorporation of more than one nucleotide in a particular cycle
  • Fading
    • Decay in fluorescent signal intensity with each cycle
    • Likely attributable to material loss during sequencing
  • Crosstalk
    • C channel illumination overlaps with A: a C label fluoresces in A channel (similarly G and T overlap)
    • Likely caused by overlap in dye emission frequencies

Alta-Cyclic

Probabilistic Base Calling

BayesCall

Swift

Ibis

(To be added soon.)

References

Erlich, Y., Mitra, P.P., delaBastide, M., McCombie, W.R., Hannon, G.J. (2008) Alta-Cyclic: A self-optimizing base caller for next-generation sequencing. Nature Methods 5:679-682

Kao, W.-C., Stevens, K., Song, Y.S. (2009) BayesCall: A model-based base-calling algorithm for high-throughput short-read sequencing. Genome Research 19:1884-1895

Rougemont, J., Amzallag, A., Iseli, C., Farinelli, L., Xenarios, I., Naef, F. (2008) Probabilistic base calling of Solexa sequencing data. BMC Bioinformatics 9:Article 431

Whiteford, N., Skelly, T., Curtis, C., Ritchie, M.E., Löhr, A., Zaranek, A.W., Abnizova, I., Brown, C. (2009) Swift: Primary data analysis for the Illumina Solexa sequencing platform. Bioinformatics 25:2194-2199