SIEVE Software

What's New!
SIEVE 2.2 A demo version can be downloaded from the download section under the SIEVE tab.

Automated, label-free, semi-quantitative analysis of proteins, peptides, and metabolites based on comparisons of LC/MS and GC/MS data

Discovery of protein and metabolite biomarkers is an important step in understanding metabolic pathways and disease mechanisms, and in identifying potential drug and diagnostic targets. Label-free differential expression analysis has quickly proved useful as a fast, cost-efficient, and effective way to find putative biomarkers.

Thermo Scientific SIEVE software provides an easy-to-use automated solution for evaluating the large amounts of LC/MS and GC/MS data generated by label-free sample analyses. It effectively locates compounds with statistically significant abundance differences between sample populations. In addition to standard two-population differential analyses, SIEVETM software can perform trend analyses to locate compounds that vary with dosage, time, or other trend classifications. SIEVE is a statistically-rigorous data mining tool that has the power to compare hundreds of LC/MS data files at a time, but can also perform a simple comparison of two sample files.

SIEVE software helps identify putative biomarkers rapidly. It pre-filters complex data, greatly reducing the number of compounds that need to be evaluated and significantly decreasing time spent on identification. SEQUEST®, one of the most cited protein search algorithms, searches peptides against public or private databases to identify proteins. And the compound-rich, public-domain ChemSpiderTM database search application identifies metabolites in user-selected databases.

Combining SIEVE software with the unique analytical power of Thermo Scientific LC/MS and GC/MS instruments such as the LTQTM family, LTQ OrbitrapTM family, and ExactiveTM systems creates complete solutions for proteomics and metabolomics applications.

Learn more about SIEVE in our brochure


Proteome Discoverer User Meeting 2017

Reserve the date for this year’s Proteome Discoverer Users’ Meeting.  It will take place at the Atlantic Grand Hotel Bremen, Germany, on December 11-12.  Please register here.