Transcriptome based investigations are the heart of biological and medical sciences researches. The advancement of next-generation sequencing technologies has given immense resolution to such investigations. It is extensively used to characterise the transcriptional activity of a cell, tissue, organism, or any biological system focusing on a subset of target genes or global gene profile under various conditions such as developmental stages, physiological variations, and in-vitro and in-vivo infection. The Next-generation sequencing technique (RNA-Seq ) explores the expression of the gene, transcript, isoforms,  gene fusions, SNP in a single experiment without the limitation of prior knowledge. RNA-Seq is highly used to identify candidate genes and markers linked with particular features of interest. RNA-seq data analysis is highly demanded in academic and industrial research due to high gene and transcript level resolution, sensitivity, and accuracy. Hap Genomics provides a broad range of transcriptome data analysis services for advanced research projects and publications. Identification of the expressed genes.

1. Transcriptome assembly (Reference/de-novo) and annotation

2. Gene abundance and Differential expression analysis

3. Determination of the gene structures and splicing variants

4. Non-coding RNA analysis

5. Enrichment study of gene ontologies and pathways

6. Quantification, differential expression analysis and characterisation of known and novel microRNA

7. Target gene prediction and network/pathway analysis

8. Detection of quality variants (SNVs and InDels) and filtering of common variants in the population

9. Chip-Seq Analysis

10. Methylome-Seq Analysis

11. Metatranscriptome Analysis