Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background#R##N#High throughput RNA sequencing (RNA-Seq) can generate whole transcriptome information at the single transcript level providing a porful tool with multiple interrelated applications including transcriptome reconstruction and quantification. The sequences of novel transcripts can be reconstructed from deep RNA-Seq data, but this is computationally challenging due to sequencing errors, uneven coverage of expressed transcripts, and the need to distinguish beten highly similar transcripts produced by alternative splicing. Another challenge in transcriptomic analysis comes from the ambiguities in mapping reads to transcripts.
['Serghei Mangul', 'Adrian Caciula', 'Sahar Al Seesi', 'Dumitru Brinza', 'Ion Mӑndoiu', 'Alexander Zelikovsky']
I am writing a research paper on a idea Transcriptome assembly and quantification from Ion Torrent RNA-Seq data.
[{"from": "human", "value": "I am writing a research paper on a idea Transcriptome assembly and quantification from Ion Torrent RNA-Seq data."}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background#R##N#High throughput RNA sequencing (RNA-Seq) can generate whole transcriptome information at the single transcript level providing a porful tool with multiple interrelated applications including transcriptome reconstruction and quantification. The sequences of novel transcripts can be reconstructed from deep RNA-Seq data, but this is computationally challenging due to sequencing errors, uneven coverage of expressed transcripts, and the need to distinguish beten highly similar transcripts produced by alternative splicing. Another challenge in transcriptomic analysis comes from the ambiguities in mapping reads to transcripts."}]