Sylvain Brohée

Molecular Biology · 2006–2014

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Sylvain Brohée trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Gary D. Bader
  2. Anton J. Enright
  3. Bobby-Joe Breitkreutz
  4. Andrew D. King
  5. Paul T. Shannon
  6. Christopher W. V. Hogue
  7. Hans-Werner Mewes
  8. Peter Uetz
  9. Chris Stark
  10. Stijn van Dongen

Who trusts Sylvain Brohée overall

  1. Stijn van Dongen
  2. Roded Sharan
  3. Trey Ideker
  4. Tamás Nepusz
  5. Xiaoli Li
  6. Athanasios Theocharidis
  7. Min Wu
  8. Mayra Zegarra Rodriguez
  9. Cei Abreu-Goodger
  10. Igor Ulitsky

Papers from Sylvain Brohée's perspective

Ordered by how strongly the researchers Sylvain Brohée trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A comprehensive two-hybrid analysis to explore the yeast protein interactome (Proceedings of the National Academy of Sciences of the United States of America)
  2. Functional organization of the yeast proteome by systematic analysis of protein complexes (Nature)
  3. Comparative assessment of large-scale data sets of protein–protein interactions (Nature)
  4. A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae (Nature)
  5. Cytoscape: a software environment for integrated models of biomolecular interaction networks.
  6. Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry (Nature)
  7. An automated method for finding molecular complexes in large protein interaction networks (BMC Bioinformatics)
  8. MIPS: analysis and annotation of proteins from whole genomes in 2005 (Nucleic Acids Res.)
  9. An efficient algorithm for large-scale detection of protein families. (Nucleic Acids Research)
  10. The HUPO PSI's Molecular Interaction format—a community standard for the representation of protein interaction data (Nature Biotechnology)

Their papers