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authorCalvin Morrison <mutantturkey@gmail.com>2013-08-12 13:23:30 -0700
committerCalvin Morrison <mutantturkey@gmail.com>2013-08-12 13:23:30 -0700
commit77a6d8aa7944b4baf0cf16d91d92813425fd05dc (patch)
tree02bf49a2abd630c21136f28c5ae5b01e68666b77
parente48d8f7a62a03b783185fcdb4906fd9d063f9c89 (diff)
parenta36328d0e2980f58cfc36afa2640dfa2f00bb873 (diff)
Merge pull request #1 from gailrosen/patch-1
Update matlab.markdown
-rw-r--r--doc/matlab.markdown16
1 files changed, 10 insertions, 6 deletions
diff --git a/doc/matlab.markdown b/doc/matlab.markdown
index ec9249c..09b0103 100644
--- a/doc/matlab.markdown
+++ b/doc/matlab.markdown
@@ -120,15 +120,15 @@ their concentrations (in the first and second columns respectively)
Usage tips:
* Please name fasta files of sample reads with <sample id>.fa<*> and place them
- into one directory without any other f ile in that directory (for example, no
+ into one directory without any other file in that directory (for example, no
hidden files that the operating system may generate, are allowed in that
- direct ory)
+ directory)
* Note: When making your QIIME Metadata file, the sample id's must match the
fasta file prefix names
* Fasta files of reads must have a suffix that starts with .fa (e.g.: .fasta and
.fa are valid while .fna is NOT)
-* Modify the top of the Matlab/Octave scripts for <input_directory>,
- <output_directory>, <output_filename>, and <train ing_database_filename>
+* Modify the top of the Matlab/Octave scripts for \<input\_directory\>,
+ \<output\_directory\>, \<output\_filename\>, and \<training\_database_filename\>
To use with QIIME, one must run the QIIME conversion tool on our OTU table
output:
@@ -142,13 +142,17 @@ output:
Unweighted.)
Pre-requisites:
-1. <quikr_otu_table.txt>
+1. \<quikr\_otu\_table.txt\>
2. the tree of the database sequences that were used (e.g. dp7\_mafft.fasttree,
gg\_94\_otus\_4feb2011.tre, etc.)
-3. your-defined <qiime_metadata_file.txt>
+3. your-defined \<qiime\_metadata\_file.txt>
The QIIME procedue:
+
convert_biom.py -i <quikr_otu_table.txt> -o <quikr_otu>.biom --biom_table_type="otu table"
+
beta_diversity.py -i <quikr_otu>.biom -m weighted_unifrac -o beta_div -t <tree file> (example: rdp7_mafft.fasttree)>
+
principal_coordinates.py -i beta_div/weighted_unifrac_<quikr_otu>.txt -o <quikr_otu_project_name>_weighted.txt
+
make_3d_plots.py -i <quikr_otu_project_name>_weighted.txt -o <3d_pcoa_plotdirectory> -m <qiime_metadata_file>