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Shotgun proteomics, also known as data-dependent acquisition (DDA), plays an important role in the generation of spectral libraries, qualitative proteome analysis, and the identification of post-translational modifications. In addition, recent innovations in isobaric labeling quantification, with the introduction of novel tags and wider multiplexing options, add accurate quantification of the proteome and widen the applications of shotgun proteomics for quantitative analysis.
SpectroMine™ expands the possibilities for researchers in shotgun proteomics:
SpectroMine™ can search DDA, DIA, and PRM with MS1 information.
SpectroMine™ can search and quantify DDA runs from isobaric-labeled experiments using labels such as TMT, EASI-tag, and iTRAQ.
MS2 and SPS-MS3 methods are supported. All ion trap resolutions are supported. SpectroMine™ supports neutral loss-based fragmentation label methods (such as EASI-tag).
Operating System: Windows 7, x64
CPU: Intel® Core™, 2.7 GHz (quad-core) or similar
Hard drive: 200 GB free space
Memory: 16 GB
Software: .NET Framework 4.7
Operating System: Windows 10 or higher, x64
CPU: Intel® Core™ i7 4770, 3.4 GHz (octa-core) or similar
Hard drive: 500 GB free space, solid state drive (SSD)
Memory: 64 GB or more
Software: .NET Framework 4.7 or higher
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Visit Science Hub to access all scientific and technical content (publications, videos, application notes, posters and more) related to Biognosys technology, products, and services.
Lynn Verbeke, Oliver M. Bernhardt, Tejas Gandhi, Roland Bruderer, Lukas Reiter, Pulsar:
A Search Engine Integrated into Spectronaut using Dynamic PSM Stratification, Biognosys AG, ASMS 2017, San Diego, USA
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