Compact variant-rich customized sequence database and a fast and sensitive database search for efficient proteogenomic analyses

Heejin Park, Junwoo Bae, Hyunwoo Kim, Sangok Kim, Hokeun Kim, Dong Gi Mun, Yoonsung Joh, Wonyeop Lee, Sehyun Chae, Sanghyuk Lee, Hark Kyun Kim, Daehee Hwang, Sang Won Lee, Eunok Paek

Research output: Contribution to journalArticlepeer-review

23 Scopus citations


In proteogenomic analysis, construction of a compact, customized database from mRNA-seq data and a sensitive search of both reference and customized databases are essential to accurately determine protein abundances and structural variations at the protein level. However, these tasks have not been systematically explored, but rather performed in an ad-hoc fashion. Here, we present an effective method for constructing a compact database containing comprehensive sequences of sample-specific variants-single nucleotide variants, insertions/deletions, and stop-codon mutations derived from Exome-seq and RNA-seq data. It, however, occupies less space by storing variant peptides, not variant proteins. We also present an efficient search method for both customized and reference databases. The separate searches of the two databases increase the search time, and a unified search is less sensitive to identify variant peptides due to the smaller size of the customized database, compared to the reference database, in the target-decoy setting. Our method searches the unified database once, but performs target-decoy validations separately. Experimental results show that our approach is as fast as the unified search and as sensitive as the separate searches. Our customized database includes mutation information in the headers of variant peptides, thereby facilitating the inspection of peptide-spectrum matches.

Original languageEnglish
Pages (from-to)2742-2749
Number of pages8
Issue number23-24
StatePublished - 1 Dec 2014

Bibliographical note

Publisher Copyright:
© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.


  • Bioinformatics
  • Early onset gastric cancer
  • Peptide identification
  • Proteogenomics
  • Sequence database


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