집단 유전체 해독 생명정보 분석

1. Data filtering: Data filtering includes removing adaptors, contamination and low-quality reads from raw reads.

2. standard bioinformatics analysis

2.1 Non-human population whole-genome resequencing standard bioinformatics analysis

1. Alignment

2. Statistics of data production

3. SNP calling, annotation and statistics

4. Linkage disequilibrium (LD) analysis

5. Phylogeny tree

6. Population structure

7. Principal Component Analysis (PCA)

8. Selection

9. InDel detection, annotation and statistics

10. Structure variation (SV) detection, annotation and statistics

2.2 Human population whole-genome resequencing standard bioinformatics analysis
     1. Alignment
     2. Statistics of data production
     3. SNP calling, annotation and statistics
     4. InDel detection, annotation and statistics
     5. Structure variation (SV) detection, annotation and statistics

3. Personalized analysis :

1. LD & haplotype analysis
2. Demographic analysis
3. Selection analysis
We can also perform other customized analysis to meet requirements of specific projects..

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