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Current Genomics

Editor-in-Chief

ISSN (Print): 1389-2029
ISSN (Online): 1875-5488

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Perspective

Perspectives of Bioinformatics in Big Data Era

Author(s): Maozu Guo and Quan Zou*

Volume 20, Issue 2, 2019

Page: [79 - 80] Pages: 2

DOI: 10.2174/138920292002190422120915

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[1]
Zou, Q.; Li, X.B.; Jiang, W.R.; Lin, Z.Y.; Li, G.L.; Chen, K. Survey of MapReduce frame operation in bioinformatics. Brief. Bioinform., 2014, 15(4), 637-647.
[2]
Zou, Q.; Wan, S.; Zeng, X.; Ma, Z.S. Reconstructing evolutionary trees in parallel for massive sequences. BMC Sys. Biol., 2017, 11(6), 100.
[3]
Guo, R.; Guo, R.; Zhou, Y.; Fang, X.; Peng, S. Bioinformatics applications on apache spark. Gigascience, 2018, 7(8), 98.
[4]
Wan, S.; Zou, Q. HAlign-II: Efficient ultra-large multiple sequence alignment and phylogenetic tree reconstruction with distributed and parallel computing. Algorithms Mol. Biol., 2017, 12(1), 25.
[5]
Chen, X.; Wang, C.; Tang, S.; Ye, C.; Zou, Q. CMSA: A heterogeneous CPU/GPU computing system for multiple similar RNA/DNA sequence alignment. BMC Bioinformatics, 2017, 18(1), 315.
[6]
Peng, S.L.; Cheng, M.; Huang, K.; Cui, Y.; Zhang, Z.; Guo, R.; Zhang, X.; Yang, S.; Liao, X.; Lu, Y.; Zou, Q.; Shi, B. Efficient computation of motif discovery on Intel Many Integrated Core (MIC) Architecture. BMC Bioinformatics, 2018, 19(1), 10.
[7]
Peng, L.; Peng, M.; Liao, B.; Huang, G.; Li, W.; Xie, D. The advances and challenges of deep learning application in biological big data processing. Curr. Bioinform., 2018, 13(4), 352-359.
[8]
Wei, L.; Ding, Y.; Su, R.; Tang, J.; Zou, Q. Prediction of human protein subcellular localization using deep learning. J. Parallel Distribut. Comput., 2018, 117(1), 212-217.
[9]
Wei, L.; Su, R.; Wang, B.; Li, X.; Zou, Q. Integration of deep feature representations and handcrafted features to improve the prediction of N 6-methyladenosine sites. Neurocomputing, 2019, 324(1), 3-9.
[10]
Zou, Q.; Xing, P.; Wei, L.; Liu, B. Gene2vec: Gene subsequence embedding for prediction of mammalian n6‐methyladenosine sites from mrna. RNA, 2018, 25(2), 205-218.
[11]
Yu, L.; Sun, X.; Tian, S.; Shi, X.; Yan, Y. Drug and nondrug classification based on deep learning with various feature selection strategies. Curr. Bioinform., 2018, 13(3), 253-259.
[12]
Zhang, Z.; Zhao, Y.; Liao, X.; Shi, W.; Li, K.; Zou, Q.; Peng, S. Deep learning in omics: A survey and guideline; Brief Funct. Genom, 2018.
[http://dx.doi.org/10.1093/bfgp/ely030.]
[13]
Bing, F. Lingxi, and T. Jijun, Ancestral genome reconstruction on whole genome level. Curr. Genome., 2017, 18(4), 306-315.
[14]
Pu-Feng, D. Predicting protein submitochondrial locations: The 10th Anniversary. Curr. Genome., 2017, 18(4), 316-321.
[15]
Haoyue, F.; Lianping, Y.; Xiangde, Z. Noncoding variants functional prioritization methods based on predicted regulatory factor binding sites. Curr. Genome, 2017, 18(4), 322-331.

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