Unknown

Dataset Information

0

Featherweight long read alignment using partitioned reference indexes.


ABSTRACT: The advent of Nanopore sequencing has realised portable genomic research and applications. However, state of the art long read aligners and large reference genomes are not compatible with most mobile computing devices due to their high memory requirements. We show how memory requirements can be reduced through parameter optimisation and reference genome partitioning, but highlight the associated limitations and caveats of these approaches. We then demonstrate how these issues can be overcome through an appropriate merging technique. We incorporated multi-index merging into the Minimap2 aligner and demonstrate that long read alignment to the human genome can be performed on a system with 2?GB RAM with negligible impact on accuracy.

SUBMITTER: Gamaarachchi H 

PROVIDER: S-EPMC6416333 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

Featherweight long read alignment using partitioned reference indexes.

Gamaarachchi Hasindu H   Parameswaran Sri S   Smith Martin A MA  

Scientific reports 20190313 1


The advent of Nanopore sequencing has realised portable genomic research and applications. However, state of the art long read aligners and large reference genomes are not compatible with most mobile computing devices due to their high memory requirements. We show how memory requirements can be reduced through parameter optimisation and reference genome partitioning, but highlight the associated limitations and caveats of these approaches. We then demonstrate how these issues can be overcome thr  ...[more]

Similar Datasets

| S-EPMC10510034 | biostudies-literature
| S-EPMC3464235 | biostudies-literature
| S-EPMC6044046 | biostudies-literature
| S-EPMC8147415 | biostudies-literature
| S-EPMC4709609 | biostudies-literature
2013-07-15 | E-MTAB-1728 | biostudies-arrayexpress
| S-EPMC7599232 | biostudies-literature
| S-EPMC5103424 | biostudies-literature
| S-EPMC5324271 | biostudies-literature
| S-EPMC3436841 | biostudies-literature