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Commit b266948a authored by Alexis  CRISCUOLO's avatar Alexis CRISCUOLO :black_circle:
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Update paper.md v1.9.6

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...@@ -107,7 +107,7 @@ To illustrate the performances of `ROCK` on a real-case high coverage WGS datase ...@@ -107,7 +107,7 @@ To illustrate the performances of `ROCK` on a real-case high coverage WGS datase
The two FASTQ files were first processed using `AlienTrimmer` [@Criscuolo:2013] to trim off 5'/3' regions containing many sequencing errors (i.e. Phred score cutoff $Q \! =\!$ 20) or stretches of identical nucleotides. The two FASTQ files were first processed using `AlienTrimmer` [@Criscuolo:2013] to trim off 5'/3' regions containing many sequencing errors (i.e. Phred score cutoff $Q \! =\!$ 20) or stretches of identical nucleotides.
After discarding too short (i.e. $<\!$&nbsp;100&nbsp;bps) and unpaired HTSRs, a total of 4,973,401&nbsp;PE HTSRs remained (2,756,008,939&nbsp;bps, average length $\ell\! =\!$&nbsp;277&nbsp;bps), corresponding to a coverage depth of ~722$\times$. After discarding too short (i.e. $<\!$&nbsp;100&nbsp;bps) and unpaired HTSRs, a total of 4,973,401&nbsp;PE HTSRs remained (2,756,008,939&nbsp;bps, average length $\ell\! =\!$&nbsp;277&nbsp;bps), corresponding to a coverage depth of ~722$\times$.
To reduce this high coverage depth to $c \! = \!$&nbsp;50$\times$, `ROCK` (v1.9.5) was run with $k \! =\!$&nbsp;25 and $\kappa\! =\! c / \varepsilon\! \approx\!$&nbsp;45. To reduce this high coverage depth to $c \! = \!$&nbsp;50$\times$, `ROCK` (v1.9.6) was run with $k \! =\!$&nbsp;25 and $\kappa\! =\! c / \varepsilon\! \approx\!$&nbsp;45.
To assess the optimal CMS size $\lambda$, the total number $n \! =\!$&nbsp;105,584,331 of distinct canonical _k_-mers was estimated using `ntCard` [@Mohamadi:2017], and next specified to `ROCK`, leading to $\lambda\! =\!$&nbsp;1. To assess the optimal CMS size $\lambda$, the total number $n \! =\!$&nbsp;105,584,331 of distinct canonical _k_-mers was estimated using `ntCard` [@Mohamadi:2017], and next specified to `ROCK`, leading to $\lambda\! =\!$&nbsp;1.
In theory, using $\kappa\! =\!$&nbsp;45 is expected to yield a subset of $cl/(2\ell)\! \approx\!$&nbsp;344,000 PE HTSRs totaling $cl \! \approx\!$&nbsp;191&nbsp;Mbps. In theory, using $\kappa\! =\!$&nbsp;45 is expected to yield a subset of $cl/(2\ell)\! \approx\!$&nbsp;344,000 PE HTSRs totaling $cl \! \approx\!$&nbsp;191&nbsp;Mbps.
Obtained results are summarized in Table&nbsp;\ref{Table 1}. Obtained results are summarized in Table&nbsp;\ref{Table 1}.
...@@ -117,15 +117,15 @@ Table: Running times (min:sec), and numbers of PE HTSRs and corresponding base p ...@@ -117,15 +117,15 @@ Table: Running times (min:sec), and numbers of PE HTSRs and corresponding base p
-------------------------------------------------------------------- --------------------------------------------------------------------
$~$ **run. time** **no. PE HTSRs** **no. bps** $~$ **run. time** **no. PE HTSRs** **no. bps**
------------------- --------------- ------------------ ------------- ------------------- --------------- ------------------ -------------
$\kappa'\! =\!$ 0 3:09 425,856 242,772,228 $\kappa'\! =\!$ 0 3:16 424,040 244,188,971
$\kappa'\! =\!$ 2 3:23 388,223 225,527,243 $\kappa'\! =\!$ 2 3:22 386,665 227,069,995
$\kappa'\! =\!$ 4 3:23 373,643 218,820,128 $\kappa'\! =\!$ 4 3:23 371,834 220,241,468
$\kappa'\! =\!$ 6 3:24 372,186 218,209,793 $\kappa'\! =\!$ 6 3:24 370,336 219,612,591
$\kappa'\! =\!$ 8 3:24 371,843 218,067,593 $\kappa'\! =\!$ 8 3:24 369,994 219,471,025
-------------------------------------------------------------------- --------------------------------------------------------------------
For comparison sake, comparable standard digital normalizations ($\kappa\! =\!$&nbsp;45 and $k \! =\!$&nbsp;25) were also carried out on the same computer (AMD Epyc 2.2 GHz processor, 128 Gb RAM) using other dedicated tools (see Statement of need). For comparison sake, comparable standard digital normalizations ($\kappa\! =\!$&nbsp;45 and $k \! =\!$&nbsp;25) were also carried out on the same computer (AMD Epyc 2.2 GHz processor, 128 Gb RAM) using other dedicated tools (see Statement of need).
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