Bioinformatics of Brain Diseases

215

[9] U. R. Müller and D. V. Nicolau, “Microarray technology and its appli-

cations,” Springer, Berlin, 2005.

[10] R. E. Bumgarner, “Overview of dna microarrays: types, applications,

and their future,” Current protocols in molecular biology, vol. Chapter

22, p. Unit 22.1., 2013.

[11] J. Chen, V. Agrawal, M. Rattray, et al., “A comparison of microarray

and mpss technology platforms for expression analysis of arabidopsis,”

BMC Genomics, vol. 8, pp. 414–414, 2007.

[12] S. Maouche, O. Poirier, T. Godefroy, et al., “Performance comparison of

two microarray platforms to assess differential gene expression in human

monocyte and macrophage cells,” BMC Genomics, vol. 9, pp. 302–302,

2008.

[13] R. Jaksik, M. Iwanaszko, J. Rzeszowska-Wolny, et al., “Microarray ex-

periments and factors which affect their reliability,” Biology Direct,

vol. 10, 2015.

[14] A. Haque, J. A. Engel, S. A. Teichmann, et al., “A practical guide to

single-cell rna-sequencing for biomedical research and clinical applica-

tions,” Genome Medicine, vol. 9, 2017.

[15] K. R. Kukurba and S. B. Montgomery, “Rna sequencing and analysis,”

Cold Spring Harbor protocols, vol. 2015 11, pp. 951–69, 2015.

[16] D. Deshpande, K. Chhugani, Y. Chang, et al., “Rna-seq data science:

From raw data to effective interpretation,” Frontiers in Genetics, vol. 14,

2023.

[17] E. Korpelainen, J. Tuimala, P. Somervuo, et al., “Rna-seq data analysis:

A practical approach,” 2014.

[18] X. Li, A. A. Nair, S. Wang, et al., “Quality control of rna-seq experi-

ments,” Methods in Molecular Biology, vol. 1269, pp. 137–46, 2015.

[19] Q. Zhou, X. Su, G. Jing, et al., “Rna-qc-chain: comprehensive and fast

quality control for rna-seq data,” BMC Genomics, vol. 19, 2018.

[20] S. Zhao, W.-P. Fung-Leung, A. Bittner, et al., “Comparison of rna-seq

and microarray in transcriptome profiling of activated t cells,” PLoS

ONE, vol. 9, 2014.

[21] A. Athar, A. Füllgrabe, N. George, et al., “Arrayexpress update – from

bulk to single-cell expression data,” Nucleic Acids Research, vol. 47,

pp. D711–D715, 2018.

[22] Y. Tanizawa, T. Fujisawa, Y. Kodama, et al., “Dna data bank of japan

(ddbj) update report 2022,” Nucleic Acids Research, vol. 51, pp. D101–

D105, 2022.