Summary includes data analysis
Reports provided in PDF format, RAW files available upon request
Typical 2-4 weeks from LC-MS/MS raw data acceptance to data report delivery
Early correlation studies only focused on individual and highly heritable macrophenotypes, with the aim to identify a few common major gene variants. Fast advances in high-throughput sequencing technologies, have allowed scientists to expand their targets to rare variants on a genome-wide scale and focus on elucidating the genetic basis of complex human diseases, or quantitative traits in animals and plants.
Metabolomics, based on high-throughput mass spectrometry, can decompose a small number of macroscopic phenotypes into metabolic molecular phenotypes, and find significantly associated metabolic indicators and gene variants through mGWAS, which can more directly reveal the molecular mechanism behind macroscopic phenotypes such as diseases. As a research hotspot in recent years, mGWAS has been widely used in animal and plant variety breeding, human disease research and other fields.
| INTEGRATIVE ANALYSIS | TOTAL NUMBER OF SAMPLES | BIOLOGICAL DUPLICATES |
|---|---|---|
| Genome re-sequencing+ metabolome | ＞ 100 | ≥ 10 |
BGI’s RNA Sequencing services are typically executed with proprietary DNBSEQ™ sequencing technology platforms, for great sequencing data at some of the lowest costs in the industry. DNBSEQ™ offers advantages in terms of lower amplification error rates and much lower duplication rates. In addition, studies have shown the lower index hopping rate in DNBSEQ™ platforms.
