Jordan M. Eizenga
Molecular Biology · 2017–2022
A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 103 citations into it
- Genetics — 63 citations into it
- Artificial Intelligence — 19 citations into it
Whom Jordan M. Eizenga trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jordan M. Eizenga's perspective
Ordered by how strongly the researchers Jordan M. Eizenga trusts endorse each paper. Same corpus, a different order for every researcher.
- The Diploid Genome Sequence of an Individual Human (PLoS Biology)
- Resolving the complexity of the human genome using single-molecule sequencing (Nature)
- An Eulerian path approach to DNA fragment assembly (Proceedings of the National Academy of Sciences of the United States of America)
- Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome (Nature Biotechnology)
- Merqury: reference-free quality, completeness, and phasing assessment for genome assemblies (Genome Biology)
- A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data (Bioinform.)
- Limitations of next-generation genome sequence assembly (Nature Methods)
- Additional file 6
- Velvet: algorithms for de novo short read assembly using de Bruijn graphs.
- A universal SNP and small-indel variant caller using deep neural networks
Their papers
- Variation graph toolkit improves read mapping by representing genetic variation in the reference (2018) — 681 citations
- Genome graphs and the evolution of genome inference (2017) — 314 citations
- Pangenomics enables genotyping known structural variants in 5,202 diverse genomes (2021) — 309 citations
- A draft human pangenome reference (2022) — 882 citations