10
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Protein inference: a review.

      Briefings in Bioinformatics
      Algorithms, Databases, Protein, Proteins, chemistry, Proteomics, methods

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Assembling peptides identified from tandem mass spectra into a list of proteins, referred to as protein inference, is a critical step in proteomics research. Due to the existence of degenerate peptides and 'one-hit wonders', it is very difficult to determine which proteins are present in the sample. In this paper, we review existing protein inference methods and classify them according to the source of peptide identifications and the principle of algorithms. It is hoped that the readers will gain a good understanding of the current development in this field after reading this review and come up with new protein inference algorithms.

          Related collections

          Author and article information

          Journal
          22373723
          10.1093/bib/bbs004

          Chemistry
          Algorithms,Databases, Protein,Proteins,chemistry,Proteomics,methods
          Chemistry
          Algorithms, Databases, Protein, Proteins, chemistry, Proteomics, methods

          Comments

          Comment on this article