Method for determining small nucleic acid sequence set and application thereof
A nucleic acid sequence and small nucleic acid technology, applied in the field of bioinformatics, can solve the problem that the accuracy of results depends on the integrity of the genome, and achieve the effects of improving accuracy and sensitivity, comprehensive results, and reducing dependence on structural features
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[0061] In this example, 200 small RNA sequences were randomly selected from a small RNA sequencing data, and some sequence files are shown in Table 1.
[0062] Table 1: small RNA sequences
[0063] name sequence t2_33221_25926 GGTTAAGTGACTAAGCGTACATGGTGGATGCCTTGGC t43_9407_8664 GATGTCTACTAGCCGTTGGG t115983_54_50 TATGGTTAAGTGACTAAGCGTAC t20_12754_11131 TGGACAAAGACTGACGCTCAGGT t24_11745_10234 GCCTTGACATGTCTGGAATCC … …
[0064] 1) Input a randomly selected small RNA sequencing data for processing, convert all characters into uppercase and convert non-ATCGN characters into N;
[0065] 2) Divide the file in 1) into files containing at most the set number of files (default 500, generally the value is too large or too small, and the running time will be longer). The file after segmentation is recorded as A 1 , A 2 ,...,A n , merged according to step 3 respectively;
[0066] 3) Suppose A i contains S 1 , S 2 ,…,S n bar sequenc...
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