生物資訊
Bioinformatics
次世代定序數據分析
生物資訊團隊使用經過驗證的NGS分析流程處理Illumina / BGI 數據，輸出標準和定制的分析結果。請查看以下內容了解我們可以提供的分析類型。
mRNA Sequencing (Gene Expression Analysis)
- Data QC & filtering
- Statistical analysis of differentially expressed genes
- Gene Ontology and Pathway enrichment analysis
- Principal components analysis
Small RNA Sequencing
- Data QC & filtering
- Analyze the expression pattern of known miRNAs
- Identify novel miRNAs
- Statistical analysis of differentially expressed miRNAs
- Target prediction of novel and known miRNAs
- Gene Ontology and Pathway enrichment analysis of miRNA target genes
- Principal components analysis
Transcriptome De Novo Assembly
- Data QC & filtering
- Transcripts assembly
- Known and novel transcript identification
- Differential gene expression analysis
- Gene Ontology and Pathway enrichment analysis
- Principal components analysis
- Novel lncRNA prediction
- Differential lncRNA expression analysis
- Up/down stream lncRNAs identified for specific genes
- Pre-miRNA prediction
16S Metagenomics
- Data QC & filtering
- Number of raw reads, number of reads passing QC, number of Operational Taxonomic Units (OTUs)
- Species composition and abundance analysis
- Complexity of a single sample (alpha diversity)
- Complexity differences between different samples (beta diversity, samples ≥ 2)
- Principal component analysis (samples ≥ 3)
- Clustering of species composition among samples (Samples ≥ 3)
ChIP-seq
- Data QC & filtering
- Align reads to the reference genome
- Peak analysis (peak length and depth)
- Peak annotation (peak distribution, Gene Ontology and Pathway analysis of peak related gene)
- Identify differential peaks between samples
- Differential peaks annotation (differential peaks distribution, GO and Pathway analysis of differential peak related gene)
- Motif analysis
Whole Exome Sequencing
- Data QC & filtering
- Align reads to the human reference genome
- SNP calling and annotation
- SNP validation and comparison
- Functional prediction of SNPs
- InDel calling and annotation
- InDel validation and comparison
生物晶片數據分析
我們的生物資訊學團隊在處理OneArray®、Affymetrix、Agilent，Illumina和其他平台的數據分析方面擁有豐富的經驗。請查看以下內容了解我們可以提供的分析類型。
OneArray®
Our basic OneArray®data analysis package includes normalization, identification of differentially expressed genes, principal components analysis, hierarchical clustering, and Gene Ontology and Pathway enrichment analysis.
Agilent
Our basic Agilent data analysis package includes normalization, identification of differentially expressed genes, principal components analysis, and hierarchical clustering.
Affymetrix
Our basic Affymetrix data analysis package includes normalization, identification of differentially expressed genes, principal components analysis, and hierarchical clustering.
Illumina
Our basic Illumina data analysis package includes normalization, identification of differentially expressed genes, principal components analysis, and hierarchical clustering.
Advanced Analysis
- Gene Ontology and Pathway enrichment analyses: using a set of differentially expressed genes, an enrichment analysis will find which GO terms and pathways are over-represented (or under-represented) using annotations for that gene set.
- CMAP: a useful tool in the drug discovery process, OneArray® microarray results can be input into our CMAP pipeline in order to identify/predict the effects of different drugs on different compounds without having to run the wet lab experiments. Protein target prediction and advanced pathway analysis can be performed as subsequent analyses in order to give an even more complete picture of the experiment.
生物晶片數據分析
我們的生物資訊學團隊在處理OneArray®、Affymetrix、Agilent，Illumina和其他平台的數據分析方面擁有豐富的經驗。請查看以下內容了解我們可以提供的分析類型。
OneArray®
Our basic OneArray®data analysis package includes normalization, identification of differentially expressed genes, principal components analysis, hierarchical clustering, and Gene Ontology and Pathway enrichment analysis.
Agilent
Our basic Agilent data analysis package includes normalization, identification of differentially expressed genes, principal components analysis, and hierarchical clustering.
Affymetrix
Our basic Affymetrix data analysis package includes normalization, identification of differentially expressed genes, principal components analysis, and hierarchical clustering.
Illumina
Our basic Illumina data analysis package includes normalization, identification of differentially expressed genes, principal components analysis, and hierarchical clustering.
Advanced Analysis
- Gene Ontology and Pathway enrichment analyses: using a set of differentially expressed genes, an enrichment analysis will find which GO terms and pathways are over-represented (or under-represented) using annotations for that gene set.
- CMAP: a useful tool in the drug discovery process, OneArray® microarray results can be input into our CMAP pipeline in order to identify/predict the effects of different drugs on different compounds without having to run the wet lab experiments. Protein target prediction and advanced pathway analysis can be performed as subsequent analyses in order to give an even more complete picture of the experiment.
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