Purpose
The Hybrid Scaffold pipeline automates the comprehensive scaffolding process and is consisted of five major steps: 1) generate in silico maps for sequence assembly; 2) align in silico sequence maps against Bionano genome maps to identify and resolve potential conflicts in either data set; 3) merge the non-conflicting maps into hybrid scaffolds; 4) align sequence maps to the hybrid scaffolds; and 5) generate AGP and FASTA files for the scaffolds.
Coverage
For Hybrid Scaffold, we recommend using as input a minimum of 80X effective molecule coverage in order to build an accurate and contiguous consensus genome map assembly for each enzyme. When using nickases, using more coverage does not significantly improve map contiguity. When using a DLS enzyme such as DLE-1, effective coverage up to and beyond 100X has shown improved map contiguities for some plants and animals.
Input Bionano assembly
When running the de novo assembly pipeline for hybrid scaffolding applications, users are recommended to use assembly parameters for non-haplotype-aware assembly. The current Hybrid Scaffold pipeline does not explicitly handle haplotype information and assumes there is only one genome map or NGS sequence contig covering a given genomic region. If multiple haplotypes are present, the pipeline may make false positive conflict cuts and incorrectly mix haplotypes in the final scaffolds. We understand that haplotype information is important in many applications, and a fully haplotype-aware Hybrid Scaffold pipeline is in our roadmap for a future release.
Bionano Genomics has agreed to provide the licensed Bionano Solve software to enable the VGP to package the software in a container. Bionanno Solve as shipped in this container may not be the latest and may not run efficiently on non-validated hardware. Hence, it is not supported by Bionano Genomics. Any questions concerning this version should be passed to the VGP (https://github.com/VGP/vgp-assembly/issues) or Galaxy community (https://help.galaxyproject.org). For the latest supported Bionano software, visit Bionano Support https://bionanogenomics.com/support/