Metabolic and Systems Biology (TMED)

Search results

• MetaQuantome Taxonomy and Function GTN datasets

  Mehta, S., ZENODO, 2020

  DOI: 10.5281/zenodo.4110725, https://zenodo.org/record/4110725

  Dataset

• The 2020 ABRF Beer Study: beer proteomics at the global scale

  Phinney, B. S., Tsai, H., Marcus, A., Fox, G., Ding, H., Herring, L. E., Jagtap, P. D., Kirkpatrick, J., Kumar, V., Midha, M. K., Martin, L., Palmblad, M., Shan, B., Stemmer, P. M., Wang, Y., Polasky, D. A., Carr, A., Shortreed, M. & Neely, B. A., ZENODO, 2021

  DOI: 10.5281/zenodo.5646304, https://zenodo.org/record/5646304

  Dataset

• iPRG-2020: Proteome Informatics Research Group Study on Metaproteomics

  Jagtap, P., Weintraub, S. T., Davis, D., Harvey, A., Hoopmann, M., Käll, L., Payne, S. H., Perez-Riverol, Y. & Palmblad, M., ZENODO, 2021

  DOI: 10.5281/zenodo.4599626, https://zenodo.org/record/4599626

  Dataset

• MetaQuantome Data creation GTN

  Mehta, S., ZENODO, 2020

  DOI: 10.5281/zenodo.4037137, https://zenodo.org/record/4037137

  Dataset

• Clinical Metaproteomics Database generation

  Mehta, S., Bhuming, D. & Do, K., ZENODO, Jul 13 2023

  DOI: 10.5281/zenodo.8144258, https://zenodo.org/records/8144258

  Dataset

• MT2MQ

  Mehta, S., ZENODO, 2020

  DOI: 10.5281/zenodo.4115871, https://zenodo.org/record/4115871

  Dataset

• Data-Independent Acquisition Mass Spectrometry as a Tool for Metaproteomics: Interlaboratory Comparison Using a Model Microbiome

  Rajczewski, A. & Jagtap, P., ZENODO, Aug 26 2024

  DOI: 10.5281/zenodo.13376414, https://zenodo.org/records/13376414

  Dataset

• Trimmed RNASeq pair for the Galaxy Training Network tutorial - "Metatranscriptomics analysis using microbiome RNASeq data"

  Jagtap, P., Mehta, S. P. & Kumar, P., ZENODO, 2019

  DOI: 10.5281/zenodo.3269404, https://zenodo.org/record/3269404

  Dataset

• Data for Precursor intensity-based label-free quantification software tools for Galaxy Platform.

  Mehta, S., ZENODO, 2020

  DOI: 10.5281/zenodo.3733904, https://zenodo.org/record/3733904

  Dataset

• Data for manuscript, "An optimized workflow for MS-based quantitative proteomics of challenging clinical bronchoalveolar lavage fluid (BALF) samples"

  Weise, D. O., Kruk, M., Higgins, L., Markowski, T. W., Jagtap, P. D., Mehta, S., Mickelson, A., Parker, L. L., Wendt, C. H. & Griffin, T. J., ZENODO, Oct 7 2022

  DOI: 10.5281/zenodo.7153029, https://zenodo.org/record/7153029

  Dataset