SALSA

SALSA scaffolds long-read de novo genome assemblies by integrating Hi-C sequencing data with assembly graphs to produce chromosome-scale scaffolds.


Key Features:

  • Integration of Hi-C Data: SALSA uses Hi-C sequencing links to provide long-range chromosomal contact information for scaffolding.
  • Assembly Graph Utilization: SALSA incorporates assembly graphs into the scaffolding process to inform contig ordering and orientation.
  • No A Priori Chromosome Estimate Required: SALSA does not require an initial estimate of chromosome number for scaffolding.
  • Error Minimization: Integration of Hi-C links with assembly graphs reduces common scaffolding errors such as inversions and inter-chromosomal fusions.

Scientific Applications:

  • De Novo Genome Assembly: SALSA is used to construct reference-quality genomes from long-read sequencing assemblies.
  • Chromosome-Scale Scaffolding: SALSA generates chromosome-scale scaffolds for comprehensive genomic analyses requiring high-resolution genome maps.

Methodology:

SALSA integrates Hi-C links with assembly graphs to scaffold long-read assemblies.

Topics

Details

License:
MIT
Programming Languages:
C++, Python
Added:
11/14/2019
Last Updated:
12/16/2020

Operations

Publications

Ghurye J, Rhie A, Walenz BP, Schmitt A, Selvaraj S, Pop M, Phillippy AM, Koren S. Integrating Hi-C links with assembly graphs for chromosome-scale assembly. PLOS Computational Biology. 2019;15(8):e1007273. doi:10.1371/journal.pcbi.1007273. PMID:31433799. PMCID:PMC6719893.