Sequencing range	Whole genome region
Sequencing strategy	NGS PE150
throughput	Fastq files, Q30≥85%
Data analysis	Standard+advanced analysis
TAT	Standard: 25 WD

Mutation site

Gene testing

Single gene disease

Complex disease

Cancer research

Cohort study

1.Process the original data to remove adapter sequences, contaminants, and low-quality reads.
2.Perform comparison analysis with reference sequences to obtain sequencing depth and coverage statistics. 3.Mutation Detection:
  >Non-tumor Sample Analysis: Detect SNVs, INDELs, CNVs, and SVs in non-tumor samples.
  >Tumor Sample Analysis:
  ·Tumor Sample (Paired with Normal): Detect somatic SNVs, INDELs, CNVs, and SVs.
  ·Normal Sample: Detect SNVs, INDELs, CNVs, and SVs.
4.Use ANNOVAR for detailed annotation of identified variants.
5.Annotate gene structure information for identified variants.
6.Annotate variants using databases specific to human genetics.
7.Predict the harmfulness of variants using established criteria (human-specific).
8.Annotate variants with functional information from relevant databases (human-specific).
9.Employ non-negative matrix decomposition to analyze characteristics of somatic mutations in at least three pairs of paired samples.
10.Screen for susceptibility genes based on sequencing depth and the Cancer Gene Census (CGC) database.
11.Screen for known driver genes using databases such as CGC513, Bert Vogelstein125, SMG127, and Comprehensive435.
12.Predict targeted drugs for mutated genes using current pharmacogenomics data.
13.Assess the total number of mutations per coding area of a tumor genome to determine the tumor mutation burden.
14.Analyze tumor purity and ploidy levels to understand the tumor's genetic composition.
15.Evaluate the presence of microsatellite instability in tumor samples.
16.Detect and analyze fusion genes within tumor samples.

Multiple sample types(FFPE, cfDNA, ctDNA)
PCR/PCR free library construction provided
100ng minimum DNA input
Advanced analysis & customized analysis provided