-Omics Technologies and Big Data-Reference-Cited by-同舟云学术

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-Omics Technologies and Big Data

Published:2023 Issue: Volume: Page:33-54
ISSN:2213-2775
Container-title:Methodologies of Multi-Omics Data Integration and Data Mining
language:
Short-container-title:

Author:

Poetsch Ansgar,Li Yuxue

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-8210-1_3

Reference68 articles.

1. Akbarian S, et al. The PsychENCODE project. Nat Neurosci. 2015;18(12):1707–12.

2. Asif MRA, et al. Role and impact of biomedical engineering discipline for developing country perspective. Int J Innov Res Comput Sci Technol. 2018;6:87–90.

3. Bantscheff M, et al. Quantitative mass spectrometry in proteomics: critical review update from 2007 to the present. Anal Bioanal Chem. 2012;404(4):939–65.

4. Bolger M, Schwacke R, Usadel B. MapMan visualization of RNASeq data using Mercator4 functional annotations. Methods Mol Biol. 2021;2354:195–212.

5. Borsatto KC, et al. Omics tools applied to the study of Chagas disease vectors: cytogenomics and genomics. Am J Trop Med Hyg. 2021;104(6):1973–7.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prospects of multiomics approaches deciphering for characterization of environmental microorganisms;Emerging Innovative Trends in the Application of Biological Processes for Industrial Wastewater Treatment;2024

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