John Rozewicki
Molecular Biology · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 40 citations into it
- Computational Biology & Bioinformatics — 15 citations into it
- Materials Chemistry — 8 citations into it
- Genetics — 7 citations into it
Whom John Rozewicki trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kazutaka Katoh
- Daron M. Standley
- Hiroyuki Toh
- Weizhong Li
- Ben M. Webb
- Jimin Pei
- David de Juan
- Fabian Sievers
- Antonina Andreeva
- Sheng Wang
Who trusts John Rozewicki overall
Papers from John Rozewicki's perspective
Ordered by how strongly the researchers John Rozewicki trusts endorse each paper. Same corpus, a different order for every researcher.
- BLAST+: architecture and applications
- MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform.
- MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability
- PartTree: an algorithm to build an approximate tree from a large number of unaligned sequences
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- 3DCoffee: combining protein sequences and structures within multiple sequence alignments.
- Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model
- Amino acid substitution matrices from protein blocks.
- Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega
- MUSCLE: multiple sequence alignment with high accuracy and high throughput.
Their papers
- MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization (2017) — 7,650 citations
- MAFFT-DASH: integrated protein sequence and structural alignment (2019) — 838 citations