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RNA Sequencing uses the capabilities of Next generation Sequencing to provide insight into the transcriptome of a cell. Compared to previous Sanger sequencing - and microarray-based methods, RNA-Seq provides far higher coverage and greater resolution of the dynamic nature of the transcriptome. Beyond quantifying gene expression, the data generated by RNA-Seq facilitate the discovery of novel transcripts, identification of alternatively spliced genes, and detection of allele-specific expressions. GeneSpec offers an end-to-end solution for RNA sequencing for all biological samples across all NGS platforms. Our expert team will support you in designing the workflow based on your objective of study.
Whole genome sequencing (WGS) has revolutionized the biosciences and proven to be essential and invaluable to the identification of gene functions and their involvement in disease. With the falling costs of sequencing technology, we envision paradigm shift from microarray-based genotyping studies to whole genome sequencing. We offer a complete package of genome sequencing services form sample preparation to the latest bioinformatic analysis for efficient assembly, gene prediction and annotation.
Metagenomics is the study of the structure and function of entire nucleotide sequences isolated and analyzed from all the organisms (typically microbes) in a bulk sample. Metagenomics is often used to study a specific community of microorganisms, such as those residing on human skin, in the soil or in a water sample. We at GeneSpec offer a wide suite of metagenomics solutions ranging from targeted metagenomics (V3, V4, V3-V4 etc…) to whole genome analysis.
When sequencing RNA other than mRNA, the library preparation is modified. The cellular RNA is selected based on the desired size range. For small RNA targets, such as miRNA, the RNA is isolated through size selection. This can be performed with a size exclusion gel, through size selection magnetic beads, or with a commercially developed kit. Once isolated, linkers are added to the 3' and 5' end then purified. The final step is cDNA generation through reverse transcription.
This approach relies on the same methods used for De novo assembly, with the additional complexity of aligning reads that cover non-continuous portions of the reference genome.
De novo assembly of RNA-seq data enables researchers to study transcriptomes without the need for a genome sequence; this approach can be usefully applied, for instance, in research on 'non-model organisms' of ecological and evolutionary importance, cancer samples or the microbiome.