Majorbio Cloud 2024: Update single-cell and multiomics workflows

Chang Han , Caiping Shi , Linmeng Liu , Jichen Han , Qianqian Yang , Yan Wang , Xiaodan Li , Wenyao Fu , Hao Gao , Huasheng Huang , Xianglin Zhang , Kegang Yu

iMeta ›› 2024, Vol. 3 ›› Issue (4) : e217

PDF
iMeta ›› 2024, Vol. 3 ›› Issue (4) :e217 DOI: 10.1002/imt2.217
COMMENTARY
Majorbio Cloud 2024: Update single-cell and multiomics workflows
Author information +
History +
PDF

Cite this article

Download citation ▾
Chang Han, Caiping Shi, Linmeng Liu, Jichen Han, Qianqian Yang, Yan Wang, Xiaodan Li, Wenyao Fu, Hao Gao, Huasheng Huang, Xianglin Zhang, Kegang Yu. Majorbio Cloud 2024: Update single-cell and multiomics workflows. iMeta, 2024, 3(4): e217 DOI:10.1002/imt2.217

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Ayyaz, Arshad, Sandeep Kumar, Bruno Sangiorgi, Bibaswan Ghoshal, Jessica Gosio, Shaida Ouladan, Mardi Fink, et al. 2019. “Single-Cell Transcriptomes of the Regenerating Intestine Reveal a Revival Stem Cell.” Nature 569: 121-125. https://doi.org/10.1038/s41586-019-1154-y

[2]

Pang, Zhiqiang, Jasmine Chong, Guangyan Zhou, David Anderson de Lima Morais, Le Chang, Michel Barrette, Carol Gauthier, et al. 2021. “MetaboAnalyst 5.0: Narrowing the Gap Between Raw Spectra and Functional Insights.” Nucleic Acids Research 49: W388-W396. https://doi.org/10.1093/nar/gkab382

[3]

Tang, Zefang, Boxi Kang, Chenwei Li, Tianxiang Chen, and Zemin Zhang. 2019. “GEPIA2: an Enhanced Web Server for Large-Scale Expression Profiling and Interactive Analysis.” Nucleic Acids Reseach 47: W556-W560. https://doi.org/10.1093/nar/gkz430

[4]

Feng, Kai, Xi Peng, Zheng Zhang, Songsong Gu, Qing He, Wenli Shen, Zhujun Wang, et al. 2022. “iNAP: An Integrated Network Analysis Pipeline for Microbiome Studies.” iMeta 1: e13. https://doi.org/10.1002/imt2.13

[5]

Ren, Yi, Guo Yu, Caiping Shi, Linmeng Liu, Quan Guo, Chang Han, Dan Zhang, et al. 2022. “Majorbio Cloud: A One-Stop, Comprehensive Bioinformatic Platform for Multiomics Analyses.” iMeta 1: e12. https://doi.org/10.1002/imt2.12

[6]

Zeisel, Amit, Ana B. Muñoz-Manchado, Simone Codeluppi, Peter Lönnerberg, Gioele La Manno, Anna Juréus, Sueli Marques, et al. 2015. “Cell Types in the Mouse Cortex and Hippocampus Revealed by Single-Cell RNA-Seq.” Science 347: 1138-1142. https://doi.org/10.1126/science.aaa1934

[7]

Aran, Dvir, Agnieszka P. Looney, Leqian Liu, Esther Wu, Valerie Fong, Austin Hsu, Suzanna Chak, et al. 2019. “Reference-Based Analysis of Lung Single-Cell Sequencing Reveals a Transitional Profibrotic Macrophage.” Nature Immunology 20(2): 163-172. https://doi.org/10.1038/s41590-018-0276-y

[8]

Yi, Xiao, Jiang Zhu, Wei Liu, Li Peng, Cong Lu, Ping Sun, Lingling Huang, et al. 2023. “Proteome Landscapes of Human Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma.” Molecular & Cellular Proteomics 22: 100604. https://doi.org/10.1016/j.mcpro.2023.100604

[9]

Sun, Yaoting, Lu Li, Yan Zhou, Weigang Ge, He Wang, Runxin Wu, Wei Liu, et al. 2022. “Stratification of Follicular Thyroid Tumours Using Data-Independent Acquisition Proteomics and a Comprehensive Thyroid Tissue Spectral Library.” Molecular Oncology 16: 1611-1624. https://doi.org/10.1002/1878-0261.13198

[10]

Wishart, David S. 2008. “Quantitative Metabolomics Using NMR.” TrAC Trends in Analytical Chemistry 27(3): 228-237. https://doi.org/10.1016/j.trac.2007.12.001

[11]

Lei, Yi, Ju Guo, Shikun He, and Hua Yan. 2022. “Essential Role of Multi-Omics Approaches in the Study of Retinal Vascular Diseases.” Cells 12: 103. https://doi.org/10.3390/cells12010103

[12]

Hänzelmann, Sonja, Robert Castelo, and Justin Guinney. 2013. “GSVA: Gene Set Variation Analysis for Microarray and RNA-Seq Data.” BMC Bioinformatics 14: 7. https://doi.org/10.1186/1471-2105-14-7

[13]

Noecker, Cecilia, Alexander Eng, Efrat Muller, and Elhanan Borenstein. 2022. “MIMOSA2: A Metabolic Network-Based Tool for Inferring Mechanism-Supported Relationships In Microbiome-Metabolome Data.” Bioinformatics 38: 1615-1623. https://doi.org/10.1093/bioinformatics/btac003

[14]

Morton, James T., Alexander A. Aksenov, Louis Felix Nothias, James R. Foulds, Robert A. Quinn, Michelle H. Badri, Tami L. Swenson, et al. 2019. “Learning Representations of Microbe-Metabolite Interactions.” Nature Methods 16: 1306-1314. https://doi.org/10.1038/s41592-019-0616-3

RIGHTS & PERMISSIONS

2024 Author(s). iMeta published by John Wiley & Sons Australia, Ltd on behalf of iMeta Science.

PDF

0

Accesses

0

Citation

Detail

Sections
Recommended

/