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authorCalvin Morrison <mutantturkey@gmail.com>2014-04-08 13:43:45 -0400
committerCalvin Morrison <mutantturkey@gmail.com>2014-04-08 13:43:45 -0400
commit1b49a2d276a62546e4e9522e26228265142066a3 (patch)
tree96abe4dfb6ae106ebd5bdaae1cb46b017b7a5118 /README.md
parent927b681691b293afbb798a65d4340446e7f6fb6c (diff)
more docs and add strand
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@@ -230,11 +230,17 @@ You need to use **valid** python code.
## Filters
-There are several filters that our mers go through, to eliminate ones that won't fit our needs. They are all configurable via the tunable parameters. If you look in a output directory, you'll see a folder called "passes-filter". This contains a file for each of the different steps in the pipeline, and the contents of each file is what 'passes' that filter.
+There are several filters that our mers go through, to eliminate ones that
+won't fit our needs. They are all configurable via the tunable parameters. If
+you look in a output directory, you'll see a folder called "passes-filter".
+This contains a file for each of the different steps in the pipeline, and the
+contents of each file is what 'passes' that filter.
-For example, if you ignored the mer 'AAAAA', then in passes-filter/1-$foreground-ignore-mers there would be no line containing that.
+For example, if you ignored the mer 'AAAAA', then in
+passes-filter/1-$foreground-ignore-mers there would be no line containing that.
-The filter system works like a big pipe, whatever gets filtered out won't make it to the next step. the order is like this
+The filter system works like a big pipe, whatever gets filtered out won't make
+it to the next step. the order is like this
All mers -> ignore_mers -> ignore_all_mers -> average_binding -> non_melting -> consecutive_binding
@@ -272,3 +278,15 @@ background count, and the mer selectivity value. (higher is better)
score mers outputs a tab delimited file with 6 columns:
nb_primers Combination Score FG_mean_dist FG_stdev_dist BG_ratio
+
+## Post Processing
+
+To get a more detailed look at each scored combination we provide the
+output\_full\_genome.py script. This script will output all of the points in a
+selected set along with some metadata, including position, what sequence it is in,
+what strand and what mer it is.
+
+ output_full_genome.py -f fg.fa -s fg.fa_bg.fa/run_12/top-scores -n 15 -o sets
+
+this will output one file for eat of the the top 15 sets in top-scores, in the
+folder sets.