Sequencing Analysis Services

RNA-Seq & Transcriptome Analysis

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Transcriptome analysis experiments enable researchers to characterize transcriptional activity (coding and non-coding), focus on a subset of relevant target genes and transcripts, or profile thousands of genes at once to create a global picture of cell function. Gene expression analysis studies can provide a snapshot of actively expressed genes and transcripts under various conditions. Next-generation sequencing (NGS) capabilities have shifted the scope of transcriptomics from the interrogation of a few genes at a time to the profiling of genome-wide gene expression levels in a single experiment. Hence, finding out how to analyze gene expression along with identifying novel transcripts using NGS-based RNA sequencing (RNA-Seq) methods is breakthrough in one of the major applications of NGS technologies. Essential Steps in Trancriptomic Data analysis done at RASA are as follows; identify pairs of ‘incompatible’ fragments that must have originated from distinct spliced mRNA iso-forms. Fragments are then analysed if connected in an ‘overlap graph’ when they are compatible and their alignments overlap in the genome. The iso-forms are then assembled from the overlap graph (minimal approach) and at last the transcript abundance is estimated in FPKMs (Fragments per Kilobase of exon per Million fragments mapped) to study the expression of a particular gene in specific tissue or organ in a defined condition.

Sequencing Analysis Services

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Sequencing Analysis Services

Protein Sequencing Analysis Services

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Protein Sequencing Analysis Services, microarray data analysis

Sequencing Analysis

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Sequencing Analysis, microbial culture, Genome Bioinformatics