This article considers the rationale for and the availability of the C++ program ProDerAl, which was written to refine previously generated alignments using varying parameters for these problematic regions, and synthetic benchmarks show that this realignment can result in an order of magnitude fewer misaligned bases.
Current read-mapping software uses a singular specification of alignment parameters with respect to the reference. In the presence of varying reference structures (such as the repetitive regions of the human genome), alignments can be improved if those parameters are allowed vary. Nix users can retrieve the source from GitHub (https://github.com/Benjamin-Crysup/proderal.git). Windows binary available at https://github.com/Benjamin-Crysup/proderal/releases/download/v1.1/proderal.zip. (publisher abstract modified)
Downloads
Similar Publications
- Sexual assault disclosure by college women at historically black colleges and universities and predominantly white institutions
- The design of an undergraduate degree program in computer & digital forensics
- A foundational study of fire debris interpretation using quantitative measures of chromatographic features in gasoline and the use of graphical display to demonstrate data sufficiency