I am new to working with NGS data. I want to add the information of new Sequence Reads to an existing transcriptome to possibly identify new transcripts. Does anyone have an idea of how to approach the matter? My first idea is mapping the reads to the trancriptome.
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Use Tophat and Cufflinks (Trapnell et al. Nature Protocols (2012); http://cufflinks.cbcb.umd.edu/index.html) with the annotation as a guide.
I would not trust it for differential expression of isoforms, but for assembling new transcripts it works fairly well. Only use high quality reads for the assembly and be careful to filter after the final merge.
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The immune system’s power comes from its genetic diversity, allowing myriad threats to be neutralized through first recognizing foreign antigens. That diversity is also what makes the immune system so difficult to study. Recent advances in sequencing technology and computational biology, however, are giving researchers new tools to understand immune responses and immune-related diseases in greater detail.
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