| Variant detection from high-throughput sequencing data is an essential step in identification of alleles involved in complex diseases and cancer. To deal with these massive data, elaborated sequence analysis pipelines are employed. A core component of such pipelines is a read mapping module whose accuracy strongly affects the quality of resulting variant calls. We propose a dynamic read mapping approach that significantly improves read alignment accuracy. The general idea of dynamic mapping is to continuously update the reference sequence on the basis of previously computed read alignments. Even though this concept already appeared in the literature, we believe that our work provides the first comprehensive analysis of this approach. |
hg clone https://toolshed.g2.bx.psu.edu/repos/iuc/ococo
| Name | Description | Version | Minimum Galaxy Version |
|---|---|---|---|
| consensus caller on SAM/BAM | 0.1.2.6 | 16.01 | |