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Genome Sequencing
de novo sequencing Re-sequencing Exome Sequencing
Basic information of genome Basic information of genome Align the clean reads with reference genome
Genome assembling results Assembly of consensus sequences Histogram of depth distribution in target regions
Genome assembling results evaluation SNP detection Evenness of exome capture sequencing
Genome annotation results Indel detection Consensus genotypes calling in exome
Comparative genomics and evolution analysis Structure variation detection Depth and coverage of each CCDS exome
Annotation of the resulting SNPs
Transcriptome Sequencing
RNA-Seq Analysis Digital Gene Expression (DGE) Small RNA analysis
de novo transcriptome Sequencing and basic data processing Sequencing and basic data processing
Sequencing and basic data processing Experimental repeatability analysis Length distribution of small RNAs
Build Unigene Saturation analysis Mapping small RNA sequence to genome
Function annotation of Unigene Mapping tags to genes Identification of microRNAs based on miRBase
Enriched GO categories of Unigene Screening of differentially expressed genes Identification of small RNAs
Differentially expressed Unigene Expression pattern analysis of DEGs Identification of repeat-associated small RNAs
Protein function prediction and classification GO functional enrichment analysis of DEGs Identification of degraded fragments of mRNA
RNA Seq with reference genome Pathway enrichment analysis of DEGs Annotation and classification of small RNAs
Sequencing and basic data processing Protein-protein interaction network analysis Novel microRNAs structure prediction
Summary of data output and alignment Antisense transcripts detection MicroRNA expression profile
Gene coverage and sequencing depth New transcripts detection Differential expression of microRNAs
Differentially expressed genes Cluster analysis or expressed microRNAs
Optimization of gene structures MicroRNA target prediction
Identification of alternative spliced transcripts
Identification of novel genes
Identification of gene tranlocations and fusions
Microbial Genome Sequencing
Bacterial Genome Sequencing Fungal Genome Sequencing Metagenome Sequencing
Genome assembly de novo analysis 16S rRNA analysis
Gene annotation Re-sequencing analysis Metagenome analysis (EGTs analysis)
Gene functional annotation Metagenome analysis (Short-reads analysis)
Synteny analysis and gene family analysis Metatranscriptome analysis
Multi-sample comparative analysis
KEGG pathway analysis
Epigenome Sequencing Bio-Cloud Computing
ChIP-Seq Bisulfite Sequencing Computing and Storage Services
Basic bioinformatics analysis Basic bioinformatics analysis Cluster computing
Map ChIP-Seq reads to reference Map bisulfite-seq reads to reference Cloud computing
Upload the data into Genome browser Get the methylation profile of the mapped reads Storage service (NGS raw data, Research results)
Genome-side scanning to identify enriched regions Gather the methylation profile of the mapped reads Training for Server Managers
The fraction of mapped reads in genome Get the methylation rate of all methylated C in CpG Training on Bioinformatics Technology
Distribution of peak depth in gene region Get the methylation rate of all dispersed C Construction of Genome Database
The genes overlapped by peaks for each sample Methylated CpG in different gene regions
GO functional enrichment analysis of the genes Methylated dispersed C in different gene regions
Difference analysis for the genes with different peak depth
Formation up a Bigtable.txt file containing all the information

Cancer Info