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ChIP-seq
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ChIP-seq
Gene-list Analysis
Microarray
RMaNI
RNA-seq
WGCNA
Home
ChIP-seq
Analysis name:
Please eneter a short name for your analysis
Data
Upload
Data file type:
sra
fastq
sam
bam
Please select a filetype of your data.
Data file (zip):
Please upload zip file containing all the chip-seq data files of the filetype selected above.
Annotation file:
Please upload a sample annotation file. File must be in csv format with column headers. First column name must be sample names as in the data file and second column name must be "condition". Condition column format - "bgr1" or "sig1".
Perform quality control of the uploaded data. Report will be generated and saved in zip file.
GO enrichment analysis of the enriched peaks.
Extract enriched peak sequences.
Submit enriched peaks to MEME-ChIP.
100
200
500
1000
2000
Select upstream promoter region.
50
100
200
Select downstream promoter region.
Perform differential binding analysis. NOTE - This is only possible if you have replicates.
Differential gene expression analysis:
edgeR
DEseq
foldchange
allabove
Gene-list Analysis Framework
Functional enrichmnent analysis using DAVID
Druggability analysis using CancerResource
Functional annotation of genes using gProfileR
Functional annotation of genes using EDanalysis
Gene Enrichment Disequilibrium Analysis using EDanalysis for BP
Gene Enrichment Disequilibrium Analysis using EDanalysis for MF
Gene Enrichment Disequilibrium Analysis using EDanalysis for CC
Promoter analysis
Select the upstream region:
500
1000
2000
5000
Select the downstream region:
50
100
200
Extract the promoter sequences for the input genes
Detect CpG islands in the promoter sequences of the input genes
Remove sequences with over GC content in the promoter sequences of the input genes. (>55% GC content for human)
Submit the input genes to MEME Suite of tools for Motif Discovery, Motif Comparison and Motif Enrichment Analysis
Perform TFBS over-representation analysis using oPOSSUM