Haim Ashkenazy
Molecular Biology · 2010–2016
A researcher in the Science corpus: 7 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 136 citations into it
- Computational Biology & Bioinformatics — 41 citations into it
- Genetics — 32 citations into it
- Materials Chemistry — 26 citations into it
- Spectroscopy — 16 citations into it
- Artificial Intelligence — 13 citations into it
- Computational Theory and Mathematics — 10 citations into it
- Plant Science — 9 citations into it
Whom Haim Ashkenazy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kazutaka Katoh
- Simon Whelan
- Tal Pupko
- Nick Goldman
- Stephen F. Altschul
- Si Quang Le
- Itay Mayrose
- Paulo A. S. Nuin
- David T. Jones
- Burkhard Rost
Who trusts Haim Ashkenazy overall
- Daniel Melamed
- Alexander S. Rose
- Daniel B. Roche
- Jérôme Tubiana
- V. Nagarajan
- David L. Young
- Fei Liu
- Surojit Biswas
- David R. Fidler
- A. Walls
Papers from Haim Ashkenazy's perspective
Ordered by how strongly the researchers Haim Ashkenazy trusts endorse each paper. Same corpus, a different order for every researcher.
- Basic local alignment search tool.
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- The Protein Data Bank.
- A general empirical model of protein evolution derived from multiple protein families using a maximum-likelihood approach.
- The Pfam protein families database
- CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice.
- Phylogeny-Aware Gap Placement Prevents Errors in Sequence Alignment and Evolutionary Analysis (Science)
- MAFFT version 5: improvement in accuracy of multiple sequence alignment
- The accuracy of several multiple sequence alignment programs for proteins
- MAFFT: a novel method for rapid multiple sequence alignment based on fast Fourier transform.
Their papers
- ConSurf 2010: calculating evolutionary conservation in sequence and structure of proteins and nucleic acids (2010) — 1,867 citations
- GUIDANCE2: accurate detection of unreliable alignment regions accounting for the uncertainty of multiple parameters (2015) — 751 citations
- GUIDANCE: a web server for assessing alignment confidence scores (2010) — 641 citations
- FastML: a web server for probabilistic reconstruction of ancestral sequences (2012) — 327 citations
- ConSurf 2016: an improved methodology to estimate and visualize evolutionary conservation in macromolecules (2016) — 2,910 citations
- ConSurf: Using Evolutionary Data to Raise Testable Hypotheses about Protein Function (2013) — 565 citations
- PredictProtein—an open resource for online prediction of protein structural and functional features (2014) — 539 citations