Titlebook: Extracellular Matrix Omics; Sylvie Ricard-Blum Book 2020 Springer Nature Switzerland AG 2020 Extracellular matrix.Quantitative proteomics.

Maudlin

書目名稱Extracellular Matrix Omics影響因子(影響力)




書目名稱Extracellular Matrix Omics影響因子(影響力)學科排名




書目名稱Extracellular Matrix Omics網(wǎng)絡(luò)公開度




書目名稱Extracellular Matrix Omics網(wǎng)絡(luò)公開度學科排名




書目名稱Extracellular Matrix Omics被引頻次




書目名稱Extracellular Matrix Omics被引頻次學科排名




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書目名稱Extracellular Matrix Omics年度引用學科排名




書目名稱Extracellular Matrix Omics讀者反饋




書目名稱Extracellular Matrix Omics讀者反饋學科排名

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The Extracellular Matrix Goes -Omics: Resources and Tools,including genetic diseases are highlighted in the second part of the chapter. The accessibility and standardization of -omic data are a prerequisite for the FAIR (Findability, Accessibility, Interoperability, and Reusability) guiding principles for scientific data management.

GRUEL

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malign

Historical Overview of Integrated GAG-omics and Proteomics,logical mechanisms to inform development of disease therapies and regenerative medicine. In this chapter, we provide a historical overview of our groups’ methods for glycomics, glycoproteomics, and proteomics of key ECM constituents, i.e., GAGs and PGs, as reported over the past decade.

Osteoarthritis

Osteoarthritis

Minatory

Proteomic and Degradomic Analysis of Body Fluids: Applications, Challenges and Considerations,(MS), MS-based proteomics is deemed to be the most suitable methodology for systematic analysis of body fluid proteomes. In this chapter, we discuss different body fluids and their characteristics, advancements in MS and workflows suitable for body fluid analysis as well as sample preparation and ap

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https://doi.org/10.1007/978-1-4684-5724-7including genetic diseases are highlighted in the second part of the chapter. The accessibility and standardization of -omic data are a prerequisite for the FAIR (Findability, Accessibility, Interoperability, and Reusability) guiding principles for scientific data management.

STIT

Martin R. Fulford,Nikolai R. Stankiewiczthat have combined protein-sequence analysis and knowledge-based curation to define the matrisome of model organisms. Last, we provide examples of how the definition of the matrisome has facilitated the identification of ECM genes and proteins in –omic datasets and has advanced our understanding of