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Genetics

D-Index
50
Citations
74213
World Ranking
3882
National Ranking
1674

Overview

Kara Dolinski is affiliated with Princeton University in the United States. Their research centers on the fields of Biochemistry, Genetics, and Molecular Biology, with a particular focus on Molecular Biology. Additional areas of specialization include Genetics, Cognitive Neuroscience, Physiology, and Plant Science.

Their scholarly work covers a broad range of topics, such as:

  • Bioinformatics and Genomic Networks
  • Fungal and yeast genetics research
  • Genomics and Rare Diseases
  • Ubiquitin and proteasome pathways
  • Functional Brain Connectivity Studies
  • Alzheimer's disease research and treatments
  • Genomics and Chromatin Dynamics

Kara Dolinski's frequent publication venues include:

  • Protein Science
  • Neuron
  • Science Advances
  • Cell Reports Methods
  • Database

Notable recent papers authored or coauthored by Kara Dolinski are:

  • The BioGRID database: A comprehensive biomedical resource of curated protein, genetic, and chemical interactions, 2020, Protein Science
  • Selective Neuronal Vulnerability in Alzheimer's Disease: A Network-Based Analysis, 2020, Neuron
  • Global analysis of the yeast knockout phenome, 2023, Science Advances
  • Atlas of primary cell-type-specific sequence models of gene expression and variant effects, 2023, Cell Reports Methods
  • Overview of the COVID-19 text mining tool interactive demonstration track in BioCreative VII, 2022, Database

Their research collaborations have involved frequent coauthors such as:

  • Rose Oughtred
  • Jennifer Rust
  • Christie Chang
  • Andrew Chatr-aryamontri
  • Mike Tyers

Best Publications

  • Gene Ontology: tool for the unification of biology

    M Ashburner;C A Ball;J A Blake;D Botstein

  • The Gene Ontology (GO) database and informatics resource.

    Harris Ma;Clark J;Ireland A;Lomax J

  • The BioGRID interaction database: 2015 update

    Andrew Chatr-aryamontri;Bobby-Joe Breitkreutz;Rose Oughtred;Lorrie Boucher

  • The BioGRID interaction database: 2017 update

    Andrew Chatr-aryamontri;Rose Oughtred;Lorrie Boucher;Jennifer M. Rust

  • The BioGRID database: A comprehensive biomedical resource of curated protein, genetic, and chemical interactions.

    Rose Oughtred;Jennifer Rust;Christie Chang;Bobby-Joe Breitkreutz

  • The BioGRID interaction database: 2019 update

    Rose Oughtred;Chris Stark;Bobby-Joe Breitkreutz;Jennifer M. Rust

  • The BioGRID Interaction Database: 2011 update

    Chris Stark;Bobby-Joe Breitkreutz;Andrew Chatr-aryamontri;Lorrie Boucher

  • Understanding multicellular function and disease with human tissue-specific networks

    Casey S Greene;Arjun Krishnan;Aaron K Wong;Emanuela Ricciotti

  • The BioGRID interaction database: 2013 update

    Andrew Chatr-aryamontri;Bobby-Joe Breitkreutz;Sven Heinicke;Lorrie Boucher

  • The BioGRID Interaction Database: 2008 update

    Bobby-Joe Breitkreutz;Chris Stark;Teresa Reguly;Lorrie Boucher

  • A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae)

    Olga G. Troyanskaya;Kara Dolinski;Art B. Owen;Russ B. Altman

  • The Gene Ontology project in 2008

    Midori A Harris;Jennifer I. Deegan;Amelia Ireland;Jane Lomax

  • Use and misuse of the gene ontology annotations.

    Seung Yon Rhee;Valerie Wood;Kara Dolinski;Sorin Draghici

  • Saccharomyces Genome Database.

    Laurie Issel-Tarver;Karen R. Christie;Kara Dolinski;Rey Andrada

  • Comparison of the Complete Protein Sets of Worm and Yeast: Orthology and Divergence

    Stephen A. Chervitz;L. Aravind;Gavin Sherlock;Catherine A. Ball

  • Saccharomyces Genome Database (SGD) provides secondary gene annotation using the Gene Ontology (GO)

    Selina S. Dwight;Midori A. Harris;Kara Dolinski;Catherine A. Ball

  • Gene Ontology Consortium. The Gene Ontology (GO) database and informatics resource

    Harris Ma;J. Clark;A. Ireland;J. Lomax

  • Comprehensive curation and analysis of global interaction networks in Saccharomyces cerevisiae

    Teresa Reguly;Ashton Breitkreutz;Lorrie Boucher;Bobby Joe Breitkreutz

  • All cyclophilins and FK506 binding proteins are, individually and collectively, dispensable for viability in Saccharomyces cerevisiae

    Kara Dolinski;Scott Muir;Maria Cardenas;Joseph Heitman

  • Saccharomyces Genome Database (SGD) provides tools to identify and analyze sequences from Saccharomyces cerevisiae and related sequences from other organisms.

    Karen R. Christie;Shuai Weng;Rama Balakrishnan;Maria C. Costanzo

Frequent Co-Authors

David Botstein
David Botstein Princeton University
Mike Tyers
Mike Tyers University of Montreal
J. Michael Cherry
J. Michael Cherry Stanford University
Andrew Chatr-aryamontri
Andrew Chatr-aryamontri University of Montreal
Olga G. Troyanskaya
Olga G. Troyanskaya Princeton University
Joseph Heitman
Joseph Heitman Duke University
Suzanna E. Lewis
Suzanna E. Lewis Lawrence Berkeley National Laboratory
Christopher J. Mungall
Christopher J. Mungall Lawrence Berkeley National Laboratory
Paul W. Sternberg
Paul W. Sternberg California Institute of Technology
Gavin Sherlock
Gavin Sherlock Stanford University

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