Reference Based RNASeq

We use highly robust statistical models to identify differentially expressed genes (DEG) from raw RNA-Seq data. All list of DEG Up and Down along with GO and pathway enrichment and different plots heatmap, Volcano. We also help you assess data quality and verify your experimental design with all undersatnding of your analysis as well as different differential Expression tool EdgeR or DESEQ2 or Cuffdiff can be used as per your requirement.

ChipSeq - DNA-Protein Binding

We use highly robust statistical models to identify DNA- protein binding regions from whole genome data. We are expert to provide peak regions / annotations to upstream / downstream as well as potential motifs involved in the region.

DNA Methylation

DNA methylation analysis like RRBS methods as well as all analysis report using bismark and methylkit. Differential methylated reports and hypo as well as hyper methylated regions along with annotation.

miRNASeq

We use highly robust statistical models to identify differentially expressed miRNAs (DEG) from raw RNA-Seq data(Known and novel miRNAs). All list of DEG Up and Down along with target genes with GO and pathway enrichment and different plots heatmap, Volcano. We also help you assess data quality and verify your experimental design with all undersatnding of your analysis as well as different differential Expression tool EdgeR or DESEQ2 can be used as per your requirement.

NGS Automated Pipeline Development

We are highly expertise in making any NGS data analysis from raw data to reports in one click with automated scripts based on python scripts

TCGA Data Analysis

We can analyze data from TCGA for any cancer type and further provide statistically analyzed results

Custom Data Analysis

We provide any custom data analysis for any NGS applications / microarray / genomics / bioinformatics. We are expertise in development of algorithms for any NGS application(automated scripts) as well as database development. We have recently developed automated python scripts for epegeneres biotech company for transcriptome as well as whole exome. We developed database only for cancer study based on variations and expression data for epigeneres.

Denovo Based RNASeq

We use highly robust statistical models to identify differentially expressed genes (DEG) from raw RNA-Seq data. transcriptome assembly and validation will be made using trinity. All list of DEG Up and Down along with GO and pathway enrichment and different plots heatmap, Volcano. We also help you assess data quality and verify your experimental design with all undersatnding of your analysis as well as different differential Expression tool EdgeR or DESEQ2 or Cuffdiff can be used as per your requirement.

Targeted Metagenomics

Targeted metagenome analysis we provide eith 16s rRNA or 18s RNA or ITS regions and species detected. We use qiime2 pipeline to make more standered report and all results provided as per the publication standerds.

Single Cell RNASeq

We are highly expertise in SCRNAseq data analysis and cell ranger tool is used to preprocess raw data and seurat as well as highly specilized in house python scripts have been developed. We deliver high interactive plots and advanced QC matrics and Interactive tSNE plots with cell type and cluster information as well as heatmap vizualization.

ATASeq

We use highly expertise in analysing ATASeq data. We are expert to provide peak regions / annotations to upstream / downstream as well as potential motifs involved in the region

NGS Genomics Database Development

We are highly expertise in genomics database development either stand alone GUI software or command line based.

Genome Annotation

We are highly expertise for the genome / transcriptome annotation either for plant or any eukaryotes or any prokaryotes.

DNASeq - Variation Calling

We use highly robust statistical models to identify potential mutations either SNP / Inerstions / Deletions / CNVs from whole genome or whole exome data. We are expert to provide variations annotations as well as list of few potential variations which can be potential markers to identify disease cause. We have provided whole exome automated pipeline recently to epigeneres cancer study company.

Whole Genome Metagenome

We are highly expertise with whole genome metagenome analysis and we use different tools like squeezmeta and bining process as well as bin vizualization using anvio. We also integrate post analysis with sqmtools for making highly interactive plots like krona / stacked bar plot / heatmap abundance plot. All the results are provided ready to use. We also accept client request as needed publication standered for tables / figures.

LncRNASeq

We use highly expertise in detecting LncRNA as well as filter only non code RNAs and removal of all coding potential RNAs.

CRISPR Data Analysis

We are highly experts in designing sgRNA as well as data analysis for crispr edited regions. Reports with variations for offsite or onsite along with annotation is reported.

Circos Genome Representation

We are highly expertise in generating advanced circular genome vizualziations using circos tools.

Metatranscriptome Data Analysis

We use highly robust statistical models to identify differentially expressed genes (DEG) from raw metatranscriptomic/metabolomics data. All list of DEG Up and Down along with GO and pathway enrichment and different plots heatmap, Volcano. We also help you assess data quality and verify your experimental design with all undersatnding of your analysis as well as different differential Expression tool EdgeR or DESEQ2 can be used as per your requirement. We also use metaphyln or Humann for advance analysis.