Carlos-Francisco Méndez-Cruz / automatic-extraction-growth-conditions

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Kevin Meza Landeros
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...@@ -10,7 +10,7 @@ Meza Landeros Kevin Emmanuel ...@@ -10,7 +10,7 @@ Meza Landeros Kevin Emmanuel
10 Tierrafría Victor _(curator)_ 10 Tierrafría Victor _(curator)_
11 11
12 ## Main Purpose 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). 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. Unfortunately 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 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. 15 effort on large data sets.
16 16
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