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#1 |
Junior Member
Location: asian Join Date: Aug 2013
Posts: 3
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Hi all,
I wrote a program of correction to correct pair-end reads. But the method of verifying corrected reads is difficult for me. I could only observe few corrected reads in the same time though blasting them and check the Identities. I was wondering if there was a way to observe large number corrected reads. Thanks. |
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#2 |
Super Moderator
Location: Walnut Creek, CA Join Date: Jan 2014
Posts: 2,707
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BBMap can produce output that is helpful for this kind of thing:
Code:
Pairing data: pct reads num reads pct bases num bases mated pairs: 100.0000% 1000 100.0000% 300000 bad pairs: 0.0000% 0 0.0000% 0 insert size avg: 270.70 Read 1 data: pct reads num reads pct bases num bases mapped: 100.0000% 1000 100.0000% 150000 unambiguous: 98.4000% 984 98.4000% 147600 ambiguous: 1.6000% 16 1.6000% 2400 low-Q discards: 0.0000% 0 0.0000% 0 perfect best site: 24.4000% 244 24.4000% 36600 semiperfect site: 24.4000% 244 24.4000% 36600 rescued: 0.0000% 0 Match Rate: NA NA 98.2567% 147385 Error Rate: 73.3000% 733 1.6680% 2502 Sub Rate: 73.3000% 733 1.6680% 2502 Del Rate: 0.0000% 0 0.0000% 0 Ins Rate: 0.0000% 0 0.0000% 0 N Rate: 11.3000% 113 0.0753% 113 Read 2 data: pct reads num reads pct bases num bases mapped: 100.0000% 1000 100.0000% 150000 unambiguous: 98.7000% 987 98.7000% 148050 ambiguous: 1.3000% 13 1.3000% 1950 low-Q discards: 0.0000% 0 0.0000% 0 perfect best site: 22.0000% 220 22.0000% 33000 semiperfect site: 22.0000% 220 22.0000% 33000 rescued: 0.0000% 0 Match Rate: NA NA 98.2627% 147394 Error Rate: 75.0000% 750 1.6660% 2499 Sub Rate: 75.0000% 750 1.6660% 2499 Del Rate: 0.0000% 0 0.0000% 0 Ins Rate: 0.0000% 0 0.0000% 0 N Rate: 10.7000% 107 0.0713% 107 It also has a few other useful flags - such as ehist and mhist - that produce histograms showing error rate distribution. |
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Tags |
correction, pair end reads |
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