Dongwan D. Kang
Molecular Biology · 2015–2019
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 35 citations into it; #8,037 of 17,773 by trust here, #8,480 by citations
- Ecology — 22 citations into it; #4,473 of 10,717 by trust here, #4,993 by citations
Whom Dongwan D. Kang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Susannah Tringe
- Donovan H. Parks
- Xiaojin Zhu
- Yu-Wei Wu
- Dinghua Li
- Zoubin Ghahramani
- Edward M. Rubin
- Victor M. Markowitz
- Chi-Man Liu
- Yung-Hsu Tang
Who trusts Dongwan D. Kang overall
- A. Apprill
- Javier Tamames
- Hayssam Soueidan
- I-Min A. Chen
- G. Uritskiy
- Edoardo Pasolli
- Yong-xin Liu
- Fernando Puente-Sánchez
- Macha Nikolski
- Ken Chu
Papers from Dongwan D. Kang's perspective
Ordered by how strongly the researchers Dongwan D. Kang trusts endorse each paper. Same corpus, a different order for every researcher.
- Genome sequences of rare, uncultured bacteria obtained by differential coverage binning of multiple metagenomes (Nature Biotechnology)
- Use of simulated data sets to evaluate the fidelity of metagenomic processing methods (Nature Methods)
- Extensive Unexplored Human Microbiome Diversity Revealed by Over 150,000 Genomes from Metagenomes Spanning Age, Geography, and Lifestyle (Cell)
- Sequence-specific error profile of Illumina sequencers (Nucleic Acids Research)
- Metagenomics: DNA sequencing of environmental samples (Nature reviews genetics)
- Evaluation of next generation sequencing platforms for population targeted sequencing studies (Genome Biology)
- MetaBAT, an efficient tool for accurately reconstructing single genomes from complex microbial communities (PeerJ)
- Gut metagenome in European women with normal, impaired and diabetic glucose control (Nature)
- CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes (Genome Research)
- MEGAHIT: an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph