Sentence examples for using the sequest search from inspiring English sources
The generated MS/MS spectra were searched against the human database using the Sequest search engine in the Proteome Discoverer (Version 1.4) software, with the false discovery rate (FDR) setting to 0.01.
MS/MS spectra were searched using the SEQUEST search algorithm (version 27, revision 12) against an Mtb protein database [24] using a mass tolerance of 50 ppm and a static modification of 57.02146 Da (carboxyamidomethylation). The search parameters for post-translational modifications comprised dynamic modifications of 243.085522 Da on Lys (GGE) and 15.99491 Da on methionine (oxidation).
The product ion spectra were searched against the latest version of the human subset of the International Protein Index (IPI) database containing sequences in forward and reverse orientations (v3.56, Mar 09, target-decoy) using the SEQUEST search engine in Bioworks 3.3.
The spectral data were converted to DTA files using the SEQUEST search engine.
Acquired MS/MS spectra were assigned to specific peptide sequences using the SEQUEST search algorithm [ 53] with a FASTA proteome database specific to T. pseudethanolicus.
Acquired spectra were searched against the human SwissProt database (091813) using the Sequest search engine through PD1.4 (Thermo-Scientific, Alcobendas, Madrid, Spain).
Raw spectra were analysed by Bioworks Browser 3.3.1 using the Sequest 3.1 search engine against an indexed database containing all predicted tryptic peptides from T. gondii proteins (ToxoDB release 5.1) [ 65].
The mass spectrometry data was analyzed and compared using the Sequest software (Bioworks3.31, Thermo) searching the mouse section of the NR-NCBI database.
MS/MS spectra were searched using the Sequest algorithm with serine, threonine, and tyrosine phosphorylation and methionine oxidation as dynamic modifications.
The CID raw spectra were extracted using Proteome Discoverer 1.4 (Thermo Fisher Scientific) and subjected to database searches using the Sequest algorithm.
The resulting tandem MS data were searched using the Sequest algorithms embedded in Proteome Discoverer 1.2 (Thermo) against a SwissProt/UniProtKB human protein sequence database (including 56,582 entries).
