ConSurf 2016: an improved methodology to estimate and visualize evolutionary conservation in macromolecules

Haim Ashkenazy, Shiran Abadi, Eric Martz, +4

Nucleic Acids Research

GeneticsGenomicsSequence AlignmentImproved MethodologyBiological Evolution +18

<scp>Clumpak</scp>: a program for identifying clustering modes and packaging population structure inferences across <i>K</i>

Naama M. Kopelman, Jonathan Mayzel, Mattias Jakobsson, +2

Molecular Ecology Resources

Cluster ComputingMarkov Clustering AlgorithmGenetic DiversityData ScienceMolecular Ecology +18

TRY plant trait database – enhanced coverage and open access

Jens Kattge, Gerhard Bönisch, Sandra Lavorel, +462

Global Change Biology

Plant GeneticsBotanyGeneticsGenomicsCrop Improvement +18

ConSurf 2005: the projection of evolutionary conservation scores of residues on protein structures

Meytal Landau, Itay Mayrose, Y. Rosenberg, +4

Nucleic Acids Research

Consurf 2005Structural BioinformaticsBiomolecular Structure PredictionMolecular BiologyMolecular Ecology +20

The frequency of polyploid speciation in vascular plants

Troy E. Wood, Naoki Takebayashi, Michael S. Barker, +3

Proceedings of the National Academy of Sciences

BiologyBiodiversityPlant DiversityPhylogeneticsBotany +13

Rate4Site: an algorithmic tool for the identification of functional regions in proteins by surface mapping of evolutionary determinants within their homologues

Tal Pupko, Rachel E. Bell, Itay Mayrose, +2

Bioinformatics

The Chromosome Counts Database (<scp>CCDB</scp>) – a community resource of plant chromosome numbers

Anna Rice, Lior Glick, Shiran Abadi, +6

New Phytologist

ConSurf: Using Evolutionary Data to Raise Testable Hypotheses about Protein Function

Gershon Celniker, Guy Nimrod, Haim Ashkenazy, +5

Israel Journal of Chemistry

Structural BioinformaticsGeneticsMolecular BiologyGenomicsSequence Alignment +24

Recently Formed Polyploid Plants Diversify at Lower Rates

Itay Mayrose, Shing H. Zhan, Carl J. Rothfels, +4

Science

Comparison of Site-Specific Rate-Inference Methods for Protein Sequences: Empirical Bayesian Methods Are Superior

Itay Mayrose

Molecular Biology and Evolution