**6. Conclusions**

To date, several bioinformatics tools are available for the researcher to use and connect in an analysis pipeline. Criteria and parameter are the essential part that always carefully revised and look into while performing the bioinformatics analysis. This review highlights bioinformatics workflow used in the identification of SNPs in genomic and transcriptomic data, gene co-expression network analysis, omics data integration. This result facilitates the interpretation of SNPs

**93**

**Author details**

Malaysia

Bangi, Selangor, Malaysia

*Computational Analysis of Rice Transcriptomic and Genomic Datasets in Search for SNPs…*

into comprehensive biological information with the identification of potential. By integrating these two types of data, it may shed some light on the roles of various genes and SNPs that may play an essential role in the accumulation of flavonoid

This work was carried out at the Centre for Bioinformatics Research, Institute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia and Malaysian Agricultural Research & Development Institute (MARDI). The open access publishing fees are funded by GP-2020-K007217 and GP-2019-K021204 grants.

Rabiatul-Adawiah Zainal-Abidin1,2 and Zeti-Azura Mohamed-Hussein1,3\*

3 Department of Applied Physics, Faculty of Science and Technology,

Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

\*Address all correspondence to: zeti.hussein@ukm.edu.my

provided the original work is properly cited.

1 Institute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia,

2 Malaysian Agricultural Research and Development Institute (MARDI), Serdang,

© 2020 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium,

*DOI: http://dx.doi.org/10.5772/intechopen.94876*

The authors declare no conflict of interest.

content in rice.

**Acknowledgements**

**Conflict of interest**

*Computational Analysis of Rice Transcriptomic and Genomic Datasets in Search for SNPs… DOI: http://dx.doi.org/10.5772/intechopen.94876*

into comprehensive biological information with the identification of potential. By integrating these two types of data, it may shed some light on the roles of various genes and SNPs that may play an essential role in the accumulation of flavonoid content in rice.
