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We generated a protein database directly from soil metaproteomic data by identifying the microbial composition using the Kaiko model's de novo sequencing methods. We first analyzed the mass spectra de novo (without a database), identifying species from the observed peptides. We next gathered full p...
ORGANISM(S): Environmental Samples <bacteria> (ncbitaxon:48479) 
2020-10-20 | MSV000086336 | MassIVE
We propose to definitively characterise the somatic genetics of breast cancer through generation of comprehensive catalogues of somatic mutations in breast cancer cases by high coverage genome sequencing coupled with integrated transcriptomic and methylation analyses.
We propose to definitively characterise the somatic genetics of breast cancer through generation of comprehensive catalogues of somatic mutations in breast cancer cases by high coverage genome sequencing coupled with integrated transcriptomic and methylation analyses.
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