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Updated: Aug 2, 2026

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens
Published on: June 28, 2018
Minimap and miniasm: fast mapping and de novo assembly for noisy long sequences
1Medical Population Genetics, Broad Institute, Cambridge, MA 02142, USA.
Motivation:
Single Molecule Real-Time (SMRT) sequencing technology and Oxford Nanopore technologies (ONT) produce reads over 10 kb in length, which have enabled high-quality genome assembly at an affordable cost. However, at present, long reads have an error rate as high as 10-15%. Complex and computationally intensive pipelines are required to assemble such reads.
Results:
We present a new mapper, minimap and a de novo assembler, miniasm, for efficiently mapping and assembling SMRT and ONT reads without an error correction stage. They can often assemble a sequencing run of bacterial data into a single contig in a few minutes, and assemble 45-fold Caenorhabditis elegans data in 9 min, orders of magnitude faster than the existing pipelines, though the consensus sequence error rate is as high as raw reads. We also introduce a pairwise read mapping format and a graphical fragment assembly format, and demonstrate the interoperability between ours and current tools.
Availability And Implementation:
https://github.com/lh3/minimap and https://github.com/lh3/miniasm
Contact:
hengli@broadinstitute.org
Supplementary Information:
Supplementary data are available at Bioinformatics online.
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