Fig. 3. The values of W<sub>c</sub>(k) and W<sub>e</sub>(k) for L = n = 4.2 mil., ℓ = 70, w = 21, p = 0.01 are shown in the left plot, whereas the right.

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Fig. 3. The values of W<sub>c</sub>(k) and W<sub>e</sub>(k) for L = n = 4.2 mil., ℓ = 70, w = 21, p = 0.01 are shown in the left plot, whereas the right one shows the region of the left one where the values of both W<sub>c</sub>(k) and W<sub>e</sub>(k) are very low. The value of the threshold T in this example equals 9. From: HiTEC: accurate error correction in high-throughput sequencing data Bioinformatics. 2010;27(3):295-302. doi:10.1093/bioinformatics/btq653 Bioinformatics | © The Author 2010. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Fig. 2. An example of an error covered by six reads; the genome region where the reads came from is shown at the bottom. The letter (inside the frame) following the witness u = CTGTTGTCTC (underlined) should be T and not A. The support values are supp(u, T) = 5 and supp(u, A) = 1. If we omit the gray part, then the remaining suffixes are lexicographically sorted, as in SA. From: HiTEC: accurate error correction in high-throughput sequencing data Bioinformatics. 2010;27(3):295-302. doi:10.1093/bioinformatics/btq653 Bioinformatics | © The Author 2010. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Fig. 1. The SA and LCP arrays for the string ACTAACACTG Fig. 1. The SA and LCP arrays for the string ACTAACACTG. The longest common prefixes of consecutive suffixes are underlined; their length gives the LCP values. From: HiTEC: accurate error correction in high-throughput sequencing data Bioinformatics. 2010;27(3):295-302. doi:10.1093/bioinformatics/btq653 Bioinformatics | © The Author 2010. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Fig. 4. The number of reads with a given number of errors and no error-free interval of length w for L = n = 4.2 mil. and ℓ = 70. The left plot uses w = 21 and the right w = 18. From: HiTEC: accurate error correction in high-throughput sequencing data Bioinformatics. 2010;27(3):295-302. doi:10.1093/bioinformatics/btq653 Bioinformatics | © The Author 2010. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Fig. 5. The values of U(w) + D(w) as percentages of the total number of erroneous reads, E<sub>e</sub>, for L = n = 4.2 mil., ℓ = 70 and p = 0.03. From: HiTEC: accurate error correction in high-throughput sequencing data Bioinformatics. 2010;27(3):295-302. doi:10.1093/bioinformatics/btq653 Bioinformatics | © The Author 2010. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Fig. 6. The HiTEC algorithm. From: HiTEC: accurate error correction in high-throughput sequencing data Bioinformatics. 2010;27(3):295-302. doi:10.1093/bioinformatics/btq653 Bioinformatics | © The Author 2010. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Fig. 7. The values of U(w) + D(w) as percentages they represent out of the total number of erroneous reads, E<sub>e</sub>, for L = n = 1 bil. The left plot uses read length ℓ = 75 and the right one ℓ = 100. From: HiTEC: accurate error correction in high-throughput sequencing data Bioinformatics. 2010;27(3):295-302. doi:10.1093/bioinformatics/btq653 Bioinformatics | © The Author 2010. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com