Statistical Approaches For Integrative Omics Data Analysis
Omics platforms had been frequently used in scientific research recently due to its increasing budget affordability and high data throughput. However, majority of the subscribers in Malaysia are dependent on external bioinformatics service providers for data interpretation. This inevitably limited the scope of analyses that can be carried out (e.g. usually restricted to the standard procedures offered by the service providers) which might led to bias interpretation of data. Further, few had extended their research by incorporating multiple omics platforms to allow a full system biological evaluation of the target(s) studied.
This workshop aims to provide intermediate level training to researcher/students embarking on system biology studies, investigator who] planned to reduce dependency on external bioinformatics company for data analyses, and for those who would like to add additional perspective into data handling.
- Dr Chong Chun Wie
- Dr Ivan Yap Kok Seng
- Ms Teng Loong Hung
- To discuss the laboratory requirement to conduct 16S metagenomics, feacal/urine metabolomics and / or microarray research
- To highlight the prerequisite to produce statistical meaningful dataset for hypothesis testing
- To provide hands on training in handling 16S metagenomics, feacal/urine metabolomics and microarray data
- To navigate the biological meaning from the complex ‘omics data using pathway analysis
Who Should Attend
Researchers interested and planning to carry out interomics research
Registration Fee (All fees inclusive GST 6%)