From 141867311cf1b9e16801bf1cab297fb2f0621bc6 Mon Sep 17 00:00:00 2001 From: cguyeux Date: Tue, 26 Mar 2013 10:27:11 +0100 Subject: [PATCH 1/1] Modifs --- main.tex | 6 +++--- presentation.tex | 25 ++++++++++++++++++++++--- 2 files changed, 25 insertions(+), 6 deletions(-) diff --git a/main.tex b/main.tex index 4a7c86b..483e683 100755 --- a/main.tex +++ b/main.tex @@ -49,7 +49,7 @@ \input{art} \section{Presentation of the Proposed Approach}\label{sec:ourapproach} - +\input{presentation} \section{Experiments}\label{sec:experiments} @@ -62,8 +62,8 @@ \input{closedgenomes} -\section{Third Stage: Reconstruction of Ancestral Synteny Blocs for the two Closest Genomes} - +\section{Third Stage: Reconstruction of Ancestral Syntheny Blocks for the two Closest Genomes} +\input{syntheny} \section{Fourth Stage: Filling holes in the Obtained Ancestral Genome} \section{Last Stage: to Reproduce the Process until Obtaining the Last Common Ancestor of the given set of Genomes} diff --git a/presentation.tex b/presentation.tex index 2b31802..00c1138 100644 --- a/presentation.tex +++ b/presentation.tex @@ -1,5 +1,24 @@ Given a bacteria, various complete genomes can be found on the Internet. - For each genome, the complete records in fasta file are downloaded from the -NCBI nucleotide website. - +NCBI nucleotide website. Then, GenemarkS is queried to find open reading +frames we will improperly called genes in the remainder of this document. +Another approach could be to download directly the coding sequence files from +the NCBI, however our experiments show that the annotated files are sometimes +really problematic. Furthermore, almost thirty gene prediction software (GPS) exist, +and they potentially can be used with various parameters, leading to numerous +different annotated genomes. For our part, we have chosen the three most famous +GPS, namely Glimmer, GeneMark, and Rast (see Table~\ref{GPS}). +\begin{table} +\centering +\begin{tabular}{|l|c|} +\hline +Gene prediction software & Good ORFs \\ +\hline +Glimmer & 2558 \\ +Genemask & 2768 \\ +Rast & 2560 \\ +\hline +\end{tabular} +\caption{Gene prediction scores of the best GPS on H37Rv} +\label{GPS} +\end{table} -- 2.39.5