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Integrating Hi-C links with assembly graphs for chromosome-scale assembly.

ABSTRACT: Long-read sequencing and novel long-range assays have revolutionized de novo genome assembly by automating the reconstruction of reference-quality genomes. In particular, Hi-C sequencing is becoming an economical method for generating chromosome-scale scaffolds. Despite its increasing popularity, there are limited open-source tools available. Errors, particularly inversions and fusions across chromosomes, remain higher than alternate scaffolding technologies. We present a novel open-source Hi-C scaffolder that does not require an a priori estimate of chromosome number and minimizes errors by scaffolding with the assistance of an assembly graph. We demonstrate higher accuracy than the state-of-the-art methods across a variety of Hi-C library preparations and input assembly sizes. The Python and C++ code for our method is openly available at https://github.com/machinegun/SALSA.

SUBMITTER: Ghurye J

PROVIDER: S-EPMC6719893 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Integrating Hi-C links with assembly graphs for chromosome-scale assembly.

Ghurye Jay J Rhie Arang A Walenz Brian P BP Schmitt Anthony A Selvaraj Siddarth S Pop Mihai M Phillippy Adam M AM Koren Sergey S

PLoS computational biology 20190821 8

Long-read sequencing and novel long-range assays have revolutionized de novo genome assembly by automating the reconstruction of reference-quality genomes. In particular, Hi-C sequencing is becoming an economical method for generating chromosome-scale scaffolds. Despite its increasing popularity, there are limited open-source tools available. Errors, particularly inversions and fusions across chromosomes, remain higher than alternate scaffolding technologies. We present a novel open-source Hi-C ...[more]

PMID: 31433799

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