Andrew J. Tritt
Molecular Biology · 2012–2023
A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 38 citations into it
- Plant Science — 24 citations into it
- Ecology — 18 citations into it
Whom Andrew J. Tritt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark J. P. Chaisson
- Maya R. Gupta
- Steven L. Salzberg
- David R. Kelley
- Martin Ester
- Yu Peng
- Brian J. Haas
- Pavel A. Pevzner
- Yihua Chen
- Ruiqiang Li
Who trusts Andrew J. Tritt overall
Papers from Andrew J. Tritt's perspective
Ordered by how strongly the researchers Andrew J. Tritt trusts endorse each paper. Same corpus, a different order for every researcher.
- Assembling millions of short DNA sequences using SSAKE (Bioinform.)
- Short read fragment assembly of bacterial genomes. (Genome Research)
- De novo assembly of human genomes with massively parallel short read sequencing. (Genome Research)
- A Unifying View of Genome Rearrangements (Workshop on Algorithms in Bioinformatics)
- Velvet: algorithms for de novo short read assembly using de Bruijn graphs.
- IDBA - A Practical Iterative de Bruijn Graph De Novo Assembler (Annual International Conference on Research in Computational Molecular Biology)
- De novo bacterial genome sequencing: millions of very short reads assembled on a desktop computer. (Genome Research)
- BreakDancer: An algorithm for high resolution mapping of genomic structural variation (Nature Methods)
- Quake: quality-aware detection and correction of sequencing errors (Genome Biology)
- Assemblathon 1: a competitive assessment of de novo short read assembly methods. (Genome Research)
Their papers
- An Integrated Pipeline for de Novo Assembly of Microbial Genomes (2012) — 437 citations
- Convergent losses of decay mechanisms and rapid turnover of symbiosis genes in mycorrhizal mutualists (2015) — 1,001 citations
- iPHoP: An integrated machine learning framework to maximize host prediction for metagenome-derived viruses of archaea and bacteria (2023) — 364 citations