Tal Pupko
Molecular Biology · 2000–2023
A researcher in the Science corpus: 16 papers; trusts 51 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 162 citations into it; #2,168 of 17,773 by trust here, #3,027 by citations
- Genetics — 57 citations into it; #5,727 of 6,854 by trust here, #4,240 by citations
- Computational Biology & Bioinformatics — 52 citations into it
- Paleontology — 22 citations into it
- Artificial Intelligence — 19 citations into it; #23,616 of 35,345 by trust here, #26,682 by citations
- Plant Science — 19 citations into it
- Materials Chemistry — 18 citations into it
- Spectroscopy — 18 citations into it
Whom Tal Pupko trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David T. Jones
- Julie Dawn Thompson
- Kazutaka Katoh
- Desmond G. Higgins
- William R. Taylor
- Aharon Armon
- Dan-Ovidiu Graur
- Itay Mayrose
- Ziheng Yang
- Janet M. Thornton
Who trusts Tal Pupko overall
- Haim Ashkenazy
- Ziheng Yang
- Itay Mayrose
- Osnat Penn
- Xavier Didelot
- Bingding Huang
- Art F. Y. Poon
- Eric Martz
- Nir Ben-Tal
- Sergei L. Kosakovsky Pond
Papers from Tal Pupko's perspective
Ordered by how strongly the researchers Tal Pupko trusts endorse each paper. Same corpus, a different order for every researcher.
- The Pfam protein families database
- Basic local alignment search tool.
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- The Protein Data Bank.
- Phylogeny-Aware Gap Placement Prevents Errors in Sequence Alignment and Evolutionary Analysis (Science)
- SCOP: a structural classification of proteins database for the investigation of sequences and structures.
- The SWISS-PROT protein sequence data bank and its supplement TrEMBL
- A general empirical model of protein evolution derived from multiple protein families using a maximum-likelihood approach.
- MUSCLE: a multiple sequence alignment method with reduced time and space complexity
- The accuracy of several multiple sequence alignment programs for proteins
Their papers
- ConSeq: the identification of functionally and structurally important residues in protein sequences (2004) — 522 citations
- ConSurf 2010: calculating evolutionary conservation in sequence and structure of proteins and nucleic acids (2010) — 1,867 citations
- Comparison of site-specific rate-inference methods for protein sequences: empirical Bayesian methods are superior. (2004) — 452 citations
- GUIDANCE2: accurate detection of unreliable alignment regions accounting for the uncertainty of multiple parameters (2015) — 751 citations
- An alignment confidence score capturing robustness to guide tree uncertainty. (2010) — 346 citations
- A fast algorithm for joint reconstruction of ancestral amino acid sequences. (2000) — 355 citations
- GUIDANCE: a web server for assessing alignment confidence scores (2010) — 641 citations
- ConSurf 2005: the projection of evolutionary conservation scores of residues on protein structures (2005) — 1,449 citations
- Rate4Site: an algorithmic tool for the identification of functional regions in proteins by surface mapping of evolutionary determinants within their homologues (2002) — 632 citations
- Comparative analysis identifies exonic splicing regulatory sequences--The complex definition of enhancers and silencers. (2006) — 330 citations
- FastML: a web server for probabilistic reconstruction of ancestral sequences (2012) — 327 citations
- Selecton 2007: advanced models for detecting positive and purifying selection using a Bayesian inference approach (2007) — 310 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
- Using evolutionary data to make sense of macromolecules with a “face‐lifted” ConSurf (2023) — 350 citations
- Model selection may not be a mandatory step for phylogeny reconstruction (2019) — 329 citations