Clustering of circular consensus sequences: accurate error correction and assembly of single molecule real-time reads from multiplexed amplicon libraries.
Felix FrancisMichael D DumasScott B DavisRandall J WisserPublished in: BMC bioinformatics (2018)
C3S-LAA uses a divide and conquer processing algorithm for SMRT amplicon-sequence data that generates accurate consensus sequences and local sequence assemblies. Solving the confounding bioinformatic source of error in LAA allowed for the identification of limited instances of errors due to DNA amplification or sequencing of homopolymeric nucleotide tracts. For research and development in genomics, C3S-LAA allows meaningful conclusions and biological inferences to be made from accurately polished sequence output.
Keyphrases
- single molecule
- single cell
- rna seq
- atomic force microscopy
- living cells
- high resolution
- clinical practice
- machine learning
- deep learning
- amino acid
- patient safety
- big data
- emergency department
- cell free
- circulating tumor
- artificial intelligence
- mass spectrometry
- genetic diversity
- fluorescent probe
- neural network
- circulating tumor cells