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hardware/conclusion

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commit 314deb2b5a0abebdcd0776942f10412f1435e27b 1 parent 6f2d706
@vreinharz vreinharz authored
Showing with 5 additions and 5 deletions.
  1. +4 −4 Recomb/conclusion_RECOMB.tex
  2. +1 −1  Recomb/results_RECOMB.tex
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8 Recomb/conclusion_RECOMB.tex
@@ -19,8 +19,8 @@ \section{Conclusion}
isostericity seems to hold a higher accuracy on the estimation of errors.
Importantly, the implementation is fast enough for practical applications.
-We must point out that our approach can only detect point wise
-sequencing errors, and only if they are located in base pairs. It
-nonetheless supplements well existing tools by using previously discarded
-information.
+We must recall that our approach is restricted to
+ the correction of point-wise error in structured regions (i.e. base paired nucleotides).
+ Nonetheless it supplements well existing tools by using previously discarded
+information holding, as shown, a strong signal.
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2  Recomb/results_RECOMB.tex
@@ -6,7 +6,7 @@ \subsection{Implementation}
The software was implemented in Python2.7 using the \textit{mpmath}~\cite{mpmath} library
for arbitrary floating point precision. The source code is freely available at \verb+https://github.com/McGill-CSB/RNApyro+.
-The time benchmarks were done on a MacBook Pro 2010, 2 processors at 2.66GHz, 8GB of RAM.
+The time benchmarks were done on a MacMini 2010, 2.3GHz dual-core Intel Core i5, 8GB of RAM.
Since applications of \RNApyro implies a need for
efficiency and scalability. In Table~\ref{tab:time} we
present different times needed to compute the probabilities for every nucleotide at every positions for a vast set of parameters. For those test
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