Method for detecting variable spliceosome in third generation full-length transcriptome

Abstract

The invention discloses a method for detecting a variable spliceosome in a third generation full-length transcriptome. The method comprises the following steps: merging original annular test sequences with joints removed to form a monomolecular transcript sequence, and screening a third generation full-length transcript sequence; comparing the third generation full-length transcript sequence with a reference genome sequence, and screening a third generation full-length transcript sequence having coverage and similarity with the reference genome sequence larger than preset thresholds; carrying out splicing false positive filtration and DNA contamination filtration on the screened third generation full-length transcript sequence; and carrying out gene annotation and variable spliceosome annotation on the filtered third generation full-length transcript sequence. An overlong read length of a third generation sequencing technology mentioned in the method disclosed by the invention is large enough to cover most RNA, the third generation full-length transcript sequence can be obtained by SMRT sequencing transcriptomes without being assembled, and a splicing structure of a gene can be effectively obtained by third generation transcriptome sequencing, and more perfect gene model annotation can be constructed.

Description

technical field [0001] The invention relates to the technical field of gene detection, in particular to a method for detecting alternatively spliced ​​bodies in three-generation full-length transcriptomes. Background technique [0002] The existing transcript and genome comparison software GMAP (GMAP: a sequence comparison software) can directly output the gene model gff file of flnc (flnc: non-chimeric full-length transcript) (gff: a pair The data format for describing base sequence characteristics), but the comparison result is the comparison information for each sequence. If this result is directly used as the gene annotation result, there will be too many false positives and repetitions: 1) The overall coverage and The alignment rate cannot guarantee the accuracy of the cut site, and most of the errors in the transcripts obtained by the third-generation sequencing are deletion insertions (indels), and the indels near the exon boundary can easily cause errors in the posit...

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Problems solved by technology

[0002] The existing transcript and genome comparison software GMAP (GMAP: a sequence comparison software) can directly output the gene model gff file of flnc (flnc: non-chimeric full-length transcript) (gff: a pair The data format for describing base sequence characteristics), but the comparison result is the comparison information for each sequence. If this result is directly used as the gene annotation result, there will be too many false positives and repetitions: 1) The overall coverage and The alignment rate cannot guarantee the accuracy of the cut site, and most of the errors in the transcripts obtained by the third-generation sequencing are deletion insertions (indels), and the indels near the exon boundary can easily cause errors in the positioning of the cut site ; 2) Due to the multiple expression of genes, many sequences will correspond to the same gene model, and there is a lot of redundancy in the gene annotation results

[0003] The software Cufflinks, which is compared and merged with the...

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