BayesHammer

BayesHammer: Bayesian Clustering for Error Correction in Single-Cell Sequencing

Error correction for sequenced reads remains difficult, especially for single-cell sequencing projects with extremely non-uniform coverage. We present the BayesHammer error correction tool that uses Bayesian subclustering to correct sequencing reads. While BayesHammer was designed for single-cell sequencing, we demonstrate that it also improves on state-of-the-art error correction tools for standard (multi-cell) sequencing data.