Addressing reproducibility in single-laboratory phenotyping experiments

@article{Kafkafi2017AddressingRI,
  title={Addressing reproducibility in single-laboratory phenotyping experiments},
  author={Neri Kafkafi and Ilan Golani and Iman Jaljuli and Hugh Morgan and Tal Sarig and Hanno W{\"u}rbel and Shay Yaacoby and Yoav Benjamini},
  journal={Nature Methods},
  year={2017},
  volume={14},
  pages={462-464}
}
high resolution MS data directly onto pathways, (ii) cross-integration of genomic and proteomic data and (iii) metabolite identity verification via data-dependent MS/MS analysis, either separately or as part of the autonomous workflow5. Our multi-omic analysis tool uses embedded BioCyc4 and Uniprot6 databases to map user-uploaded gene and protein data onto the predicted metabolic pathways (Supplementary Fig. 1). Results can be viewed in table form or using the interactive Pathway Cloud plot… CONTINUE READING
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