Erik S. Wright
Molecular Biology · 2011–2018
A researcher in the Science corpus: 4 papers; trusts 41 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 40 citations into it; #2,482 of 17,773 by trust here, #12,742 by citations
- Ecology — 20 citations into it; #5,447 of 10,717 by trust here, #8,434 by citations
- Computational Biology & Bioinformatics — 12 citations into it
- Materials Chemistry — 7 citations into it; #4,130 of 11,513 by trust here, #11,278 by citations
Whom Erik S. Wright trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert C. Edgar
- Kazutaka Katoh
- David C. Jones
- Stephen F. Altschul
- Patrick D. Schloss
- W. Kabsch
- Jimin Pei
- Julie Dawn Thompson
- Kenji Mizuguchi
- Arun Siddharth Konagurthu
Who trusts Erik S. Wright overall
- Adithya Murali
- Benjamin J. Callahan
- T. Schenekar
- S. Hortal
- Y. M. Lozano
- Aniruddha Bhargava
- Kris Sankaran
- Martin Schletterer
- Julia Goodrich
- C. Armas
Papers from Erik S. Wright's perspective
Ordered by how strongly the researchers Erik S. Wright trusts endorse each paper. Same corpus, a different order for every researcher.
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- MUSCLE: multiple sequence alignment with high accuracy and high throughput.
- The Pfam protein families database
- Basic local alignment search tool.
- MUSCLE: a multiple sequence alignment method with reduced time and space complexity
- Accurate determination of microbial diversity from 454 pyrosequencing data (Nature Methods)
- The Ribosomal Database Project: improved alignments and new tools for rRNA analysis
- The Protein Data Bank.
- SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB (Nucleic Acids Research)
- SCOP: a structural classification of proteins database for the investigation of sequences and structures.
Their papers
- DECIPHER, a Search-Based Approach to Chimera Identification for 16S rRNA Sequences (2011) — 661 citations
- Using DECIPHER v2.0 to Analyze Big Biological Sequence Data in R (2016) — 845 citations
- DECIPHER: harnessing local sequence context to improve protein multiple sequence alignment (2015) — 332 citations
- IDTAXA: a novel approach for accurate taxonomic classification of microbiome sequences (2018) — 519 citations