Sequence Protein IDEntification by Randomized Sequence Database and Transcriptome-Mass Spectrometry (SPIDER-TMS) software package has been developed at the University of Basilicata in Potenza (Italy) and designed to facilitate the determination of the amino acid sequence of a peptide as well as an unequivocal identification of proteins in a high-throughput manner with enormous advantages on time, economical resource and expertise. The software package is a valid tool for the automation of de novo sequencing approach overcoming the main limits and a versatile platform useful in proteomic field for unequivocal identification of proteins starting from MS/MS data. The strength of this software is that it is user-friendly and non-statistical approach, so protein identification can be considered unambiguous.
Sequence Protein IDEntification by Randomized Sequence Database and Transcriptome-Mass Spectrometry (SPIDER-TMS): from manual to automatic application of ‘de novo sequencing’ approach
PASCALE, RAFFAELLA;GROSSI, GERARDA;MECCA, Giansalvatore;SANTORO, DONATELLO;FALABELLA, Patrizia;BIANCO, Giuliana
2016-01-01
Abstract
Sequence Protein IDEntification by Randomized Sequence Database and Transcriptome-Mass Spectrometry (SPIDER-TMS) software package has been developed at the University of Basilicata in Potenza (Italy) and designed to facilitate the determination of the amino acid sequence of a peptide as well as an unequivocal identification of proteins in a high-throughput manner with enormous advantages on time, economical resource and expertise. The software package is a valid tool for the automation of de novo sequencing approach overcoming the main limits and a versatile platform useful in proteomic field for unequivocal identification of proteins starting from MS/MS data. The strength of this software is that it is user-friendly and non-statistical approach, so protein identification can be considered unambiguous.File | Dimensione | Formato | |
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