scispace - formally typeset
R

Ruibang Luo

Researcher at University of Hong Kong

Publications -  111
Citations -  40568

Ruibang Luo is an academic researcher from University of Hong Kong. The author has contributed to research in topics: Genome & Nanopore sequencing. The author has an hindex of 30, co-authored 90 publications receiving 29602 citations. Previous affiliations of Ruibang Luo include National Institute of Informatics & South China University of Technology.

Papers
More filters
Journal ArticleDOI

A global reference for human genetic variation.

Adam Auton, +517 more
- 01 Oct 2015 - 
TL;DR: The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations, and has reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-generation sequencing, deep exome sequencing, and dense microarray genotyping.
Journal ArticleDOI

SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler

TL;DR: This work provides an updated assembly version of the 2008 Asian genome using SOAPdenovo2, a new algorithm design that reduces memory consumption in graph construction, resolves more repeat regions in contig assembly, increases coverage and length in scaffold construction, improves gap closing, and optimizes for large genome.
Journal ArticleDOI

MEGAHIT: An ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph

TL;DR: MEGAHIT is a NGS de novo assembler for assembling large and complex metagenomics data in a time- and cost-efficient manner and generated a three-time larger assembly, with longer contig N50 and average contig length.

A global reference for human genetic variation

Adam Auton, +479 more
TL;DR: The 1000 Genomes Project as mentioned in this paper provided a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations, and reported the completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole genome sequencing, deep exome sequencing and dense microarray genotyping.
Posted Content

MEGAHIT: An ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph

TL;DR: MEGAHIT as mentioned in this paper is a NGS de novo assembler for assembling large and complex metagenomics data in a time and cost-efficient manner, which avoids preprocessing like partitioning and normalization, which might compromise on result integrity.