Kevin Meza Landeros

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...@@ -7,10 +7,21 @@ Méndez Cruz Carlos Francisco ...@@ -7,10 +7,21 @@ Méndez Cruz Carlos Francisco
7 **Members** 7 **Members**
8 Gaytan Nuñez Estefani 8 Gaytan Nuñez Estefani
9 Meza Landeros Kevin Emmanuel 9 Meza Landeros Kevin Emmanuel
10 -Tierrafría Victor 10 +Tierrafría Victor _(curator)_
11 +
12 +## Main Purpose
13 +As it is known, GEO Database is home to thousands of High-Throughput (HT) genetic expresison experiments. The documentation for each experiment done within the database includes the Growth Conditions (GC) used in it. Unfurtunately they are not registered in a structured way, but they are into text fragments associated with various fields (we call them metadata).
14 +Since knowing the GCs of these experiments helps to better understand genetic regulation, it becomes important to extract these conditions. However, doing it manually requires a lot of
15 +effort on large data sets.
16 +
17 +Thats why, our hypothesis is that a predictive model can determine the GCs of thousands of experiments stored in the GEO. Our goal is to generate a report, that will be used by curators to review and validate the GC of the experiments.
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11 20
12 ## Metodolgy 21 ## Metodolgy
13 - 1. Files were 22 + 1. GEO files download
23 + 2. Obtaining SOFT files and its transformation to an XML format
24 + 3. Tagging the GC within the XML files
14 25
15 ## Prerequisites 26 ## Prerequisites
16 ### Programming languages 27 ### Programming languages
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