MASH Native: a unified solution for native top-down proteomics data processing.
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| Title: | MASH Native: a unified solution for native top-down proteomics data processing. |
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| Authors: | Larson EJ; Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53705, United States., Pergande MR; Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI 53705, United States., Moss ME; Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI 53705, United States., Rossler KJ; Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI 53705, United States., Wenger RK; Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI 53705, United States.; Human Proteomics Program, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, United States., Krichel B; Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI 53705, United States., Josyer H; Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI 53705, United States., Melby JA; Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53705, United States., Roberts DS; Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53705, United States., Pike K; Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53705, United States., Shi Z; Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI 53705, United States., Chan HJ; Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53705, United States., Knight B; Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53705, United States., Rogers HT; Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53705, United States., Brown KA; Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53705, United States., Ong IM; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53705, United States.; University of Wisconsin Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI 53705, United States.; Department of Obstetrics and Gynecology, University of Wisconsin-Madison, Madison, WI 53705, United States., Jeong K; Department of Applied Bioinformatics, University of Tübingen, Tübingen 72704, Germany., Marty MT; Department of Chemistry and Biochemistry, University of Arizona, Tucson, AZ 85719, United States., McIlwain SJ; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53705, United States.; University of Wisconsin Carbone Cancer Center, University of Wisconsin-Madison, Madison, WI 53705, United States., Ge Y; Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53705, United States.; Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI 53705, United States.; Human Proteomics Program, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, United States. |
| Source: | Bioinformatics (Oxford, England) [Bioinformatics] 2023 Jun 01; Vol. 39 (6). |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Video-Audio Media |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1367-4811 |
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| DOI: | 10.1093/bioinformatics/btad359 |
