Zhenjiang Xu
Molecular Biology · 2013–2019
A researcher in the Science corpus: 10 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 328 citations into it
- Ecology — 113 citations into it
- Artificial Intelligence — 23 citations into it
- Nature and Landscape Conservation — 11 citations into it
- Ecology, Evolution, Behavior and Systematics — 5 citations into it
Whom Zhenjiang Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Catherine A. Lozupone
- John C. Gower
- Rob Knight
- Paul J. McMurdie
- Mark D. Robinson
- Marti J. Anderson
- Yoav Benjamini
- C. Lauber
- J. Gregory Caporaso
- Micah Hamady
Papers from Zhenjiang Xu's perspective
Ordered by how strongly the researchers Zhenjiang Xu trusts endorse each paper. Same corpus, a different order for every researcher.
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB (Applied and Environmental Microbiology)
- UniFrac: a New Phylogenetic Method for Comparing Microbial Communities (Applied and Environmental Microbiology)
- ARB: a software environment for sequence data. (Nucleic Acids Research)
- Introducing DOTUR, a Computer Program for Defining Operational Taxonomic Units and Estimating Species Richness (Applied and Environmental Microbiology)
- A comparison of methods for differential expression analysis of RNA-seq data (BMC Bioinformatics)
- Error-correcting barcoded primers for pyrosequencing hundreds of samples in multiplex (Nature Methods)
- Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities (Applied and Environmental Microbiology)
- Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms (The ISME Journal)
- Microbial community profiling for human microbiome projects: Tools, techniques, and challenges. (Genome Research)
Their papers
- Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2 (2019) — 19,259 citations
- Advancing our understanding of the human microbiome using QIIME (2013) — 544 citations
- Normalization and microbial differential abundance strategies depend upon data characteristics (2017) — 1,740 citations
- Phylogenetic Placement of Exact Amplicon Sequences Improves Associations with Clinical Information (2018) — 447 citations
- Best practices for analysing microbiomes (2018) — 1,565 citations
- Correlation detection strategies in microbial data sets vary widely in sensitivity and precision (2016) — 697 citations
- QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science (2018) — 1,189 citations
- Microbiome-wide association studies link dynamic microbial consortia to disease (2016) — 665 citations
- Effects of library size variance, sparsity, and compositionality on the analysis of microbiome data (2015) — 95 citations
- Author Correction: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2 (2019) — 686 citations