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Guy Yachdav

dblp:93/3768 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 3 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
3 papers
Bioinformatics and computational biology · 100%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › multiple sequence alignment
multiple sequence alignment visualization
0.212016
MSAViewer: interactive JavaScript visualization of multiple sequence alignments · Bioinform. 2016
Bioinformatics and computational biology
sequence analysis
0.212016
MSAViewer: interactive JavaScript visualization of multiple sequence alignments · Bioinform. 2016
Bioinformatics and computational biology › genomics › computational genomics
non-synonymous SNP effect prediction
0.112008
SNAP predicts effect of mutations on protein function · Bioinform. 2008
Bioinformatics and computational biology
protein function prediction
0.112008
SNAP predicts effect of mutations on protein function · Bioinform. 2008
Bioinformatics and computational biology › statistical genetics
variant effect prediction
0.112008
SNAP predicts effect of mutations on protein function · Bioinform. 2008
Bioinformatics and computational biology
protein structure prediction
0.112006
PROFbval: predict flexible and rigid residues in proteins · Bioinform. 2006
Bioinformatics and computational biology › protein sequence analysis
amino acid substitution
0.012008
SNAP predicts effect of mutations on protein function · Bioinform. 2008
Bioinformatics and computational biology › structural biology
protein structure and function
0.012008
SNAP predicts effect of mutations on protein function · Bioinform. 2008

Methods — techniques the papers use, named apart from their topics

javascript · 0.2interactive visualization · 0.2reliability index estimation · 0.1machine learning · 0.1sequence-based prediction · 0.1
YearPublicationVenuePosition
2016 MSAViewer: interactive JavaScript visualization of multiple sequence alignments
abstract
The MSAViewer is a quick and easy visualization and analysis JavaScript component for Multiple Sequence Alignment data of any size. Core features include interactive navigation through the alignment, application of popular color schemes, sorting, selecting and filtering. The MSAViewer is 'web ready': written entirely in JavaScript, compatible with modern web browsers and does not require any specialized software. The MSAViewer is part of the BioJS collection of components. AVAILABILITY AND IMPLEMENTATION: The MSAViewer is released as open source software under the Boost Software License 1.0. Documentation, source code and the viewer are available at http://msa.biojs.net/Supplementary information: Supplementary data are available at Bioinformatics online. CONTACT: [email protected].
Guy Yachdav, Sebastian Wilzbach, Benedikt Rauscher, Robert Sheridan, Ian Sillitoe, James B. Procter, Suzanna Lewis, Burkhard Rost, Tatyana Goldberg
Bioinform.1
2008 SNAP predicts effect of mutations on protein function
abstract
Abstract Summary: Many non-synonymous single nucleotide polymor-phisms (nsSNPs) in humans are suspected to impact protein function. Here, we present a publicly available server implementation of the method SNAP (screening for non-acceptable polymorphisms) that predicts the functional effects of single amino acid substitutions. SNAP identifies over 80% of the non-neutral mutations at 77% accuracy and over 76% of the neutral mutations at 80% accuracy at its default threshold. Each prediction is associated with a reliability index that correlates with accuracy and thereby enables experimentalists to zoom into the most promising predictions. Availability: Web-server: http://www.rostlab.org/services/SNAP; downloadable program available upon request. Contact: [email protected] Supplementary information: Supplementary data are available at Bioinformatics online.
Yana Bromberg, Guy Yachdav, Burkhard Rost
Bioinform.2
2006 PROFbval: predict flexible and rigid residues in proteins
abstract
UNLABELLED: The mobility of a residue on the protein surface is closely linked to its function. The identification of extremely rigid or flexible surface residues can therefore contribute information crucial for solving the complex problem of identifying functionally important residues in proteins. Mobility is commonly measured by B-value data from high-resolution three-dimensional X-ray structures. Few methods predict B-values from sequence. Here, we present PROFbval, the first web server to predict normalized B-values from amino acid sequence. The server handles amino acid sequences (or alignments) as input and outputs normalized B-value and two-state (flexible/rigid) predictions. The server also assigns a reliability index for each prediction. For example, PROFbval correctly identifies residues in active sites on the surface of enzymes as particularly rigid. AVAILABILITY: http://www.rostlab.org/services/profbval CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Avner Schlessinger, Guy Yachdav, Burkhard Rost
Bioinform.2