Third-generation sequencing RNA-seq comparison method based on WFA algorithm
An algorithm and sequencing technology, applied in the field of sequence comparison in bioinformatics, to achieve the effect of improving accuracy
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[0037] A third-generation sequencing RNA-seq alignment method based on the WFA algorithm, comprising the following steps:
[0038] (1) Obtain the data sets required for the evaluation, including 4 simulated data sets and 3 real data sets. The 4 simulated data sets were simulated and generated using the PBSIM tool, which simulated PacBio ROI Saccharomyces cerevisiae, Drosophila melanogaster, and human No. 19 respectively. Chromosome and ONT R2 2D Drosophila melanogaster data; 3 real datasets include RacBio ROI Drosophila melanogaster, error-corrected PacBioROI Drosophila melanogaster, and PacBio subreads of Drosophila melanogaster. Here, data from different species and different technologies are used to evaluate the performance of the algorithm more comprehensively. Table 1 shows the information of third-generation sequencing RNA-seq reads. For different species, each species corresponds to a reference genome ref. Use ref and reads to compare to find the position of reads in ref;...
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