Closed bretonics closed 7 years ago
Commit 4d3c31a14ae01417a0bde513de4e0e1d06962489 adds output with:
Occurrence in format length
: matches
Length = window length (CRISPR sequence size) Matches = number of nucleotide matches in hit
3591c4f95e010243eafd6e2b0b1351a8deb54239 and b7925f0df2a45ccf6e3e56d2c97e1e1ae7f0eda9 adds support.
Need to switch ranking priority to identities as primary sorting, then by number of occurrences.
Name Sequence Strand Reverse Occurrences Identities
CRISPR_3 TGTGATCACGTACTATTATGCGG plus GGCGTATTATCATGCACTAGTGT 3 23,8,8
CRISPR_2 AAAAATTTTCTCTATCTAACGGG minus GGGCAATCTATCTCTTTTAAAAA 4 23,15,8,8
CRISPR_1 AAAAAATTTTCTCTATCTAACGG minus GGCAATCTATCTCTTTTAAAAAA 4 23,16,8,8
CRISPR_8 AAAAAAAATTTTCCCTATCGGGG minus GGGGCTATCCCTTTTAAAAAAAA 2 23,9
CRISPR_9 AAAAAAATTTTCCCTATCGGGGG minus GGGGGCTATCCCTTTTAAAAAAA 2 23,9
CRISPR_6 CGAAAAAAAATTTTCCCTATCGG minus GGCTATCCCTTTTAAAAAAAAGC 2 23,9
CRISPR_7 GAAAAAAAATTTTCCCTATCGGG minus GGGCTATCCCTTTTAAAAAAAAG 2 23,9
CRISPR_4 AAAAATCCCATCGATCTAGCAGG minus GGACGATCTAGCTACCCTAAAAA 8 23,9,7,7,7,7,7,7
CRISPR_0 ATGTAGCTAGCTAGCTAGTAGGG plus GGGATGATCGATCGATCGATGTA 5 23,14,12,10,10
CRISPR_5 TCCCATCGATCTAGCAGGCCCGG minus GGCCCGGACGATCTAGCTACCCT 7 23,15,9,7,7,7,7
Less base pair matches in match hit (identities) == better CRISPR, followed by fewer occurrences.
e512c8f9993b849afe37ded7e8297f11cb45626c closes
Get match hits for each CRISPR and rank matches according to how many bp are matched. Not only how many occurrences per target throughout genome but which has the least matching base pairs.