Method based on repetitive sequence recognition for splicing sequencing data of whole genome
A whole-genome sequencing and repeating sequence technology, applied in the field of genetic engineering, can solve problems such as splicing errors in large genome data of higher animals and plants
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[0026] In the following, the steps of the method of the present invention will be described in detail with reference to the accompanying drawings:
[0027] In order to identify repetitive sequences, the present invention first sets a minimum fragment length, generally 15bp-20bp, and repetitive sequences smaller than this length will not be considered. To simplify the model, it is assumed that all sequencing reads are equal in length, which are all L.
[0028] The meaning of the parameters in the following formula: G: total length of the genome, L: average effective read length for sequencing, N: number of successful sequencing reactions, F: identification minimum fragment length.
[0029] Count the number of occurrences of non-repetitive small fragments in shotgun sequencing:
[0030] Define a random variable Y ik Describe the occurrence of K times of the above-mentioned DNA fragments of the specified length in whole-genome sequencing using the shotgun method:
[0031] If the num...
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