# HG changeset patch
# User rnateam
# Date 1404909481 14400
# Node ID 49e600128a73f6310aae177e1a94c209b1d81d30
# Parent 27dde42069e0daecd180efd95ddbc4ba8041f119
Uploaded
diff -r 27dde42069e0 -r 49e600128a73 blockclust.xml
--- a/blockclust.xml Tue Jul 08 13:18:16 2014 -0400
+++ b/blockclust.xml Wed Jul 09 08:38:01 2014 -0400
@@ -161,9 +161,12 @@
fast graph-kernel techniques. BlockClust allows both clustering and
classification of small non-coding RNAs.
-BlockClust runs in three modes:
+BlockClust runs in three operating modes:
+
1) Pre-processing - converts given mapped reads (BAM) into BED file of tags
-2) Clustering and classification - of given input block groups (from blockbuster tool) as explained in the original paper.
+
+2) Clustering and classification - of given input blockgroups (output of blockbuster tool) as explained in the original paper.
+
3) Post-processing - extracts distribution of clusters searched against Rfam database and plots hierarchical clustering made out of centroids of each BlockClust predicted cluster.
For a thorough analysis of your data, we suggest you to use complete blockclust workflow, which contains all three modes of operation.
@@ -171,31 +174,33 @@
**Inputs**
BlockClust input files are dependent on the mode of operation:
-1) Pre-processing mode:
-Binary Sequence Alignment Map (BAM) file
+
+1. Pre-processing mode:
+ * Binary Sequence Alignment Map (BAM) file
-2) Clustering and classification:
-A blockgroups file generated by blockbuster tool
-Select reference genome
+2. Clustering and classification:
+ * A blockgroups file generated by blockbuster tool
+ * Select reference genome
-3) Post-processing:
-Output of cmsearch, searched clusters generated by BlockClust against Rfam
-BED file containing clusters generated by BlockClust
-Pairwise similarities of blockgroups generated by BlockClust
+3. Post-processing:
+ * Output of cmsearch, searched clusters generated by BlockClust against Rfam
+ * BED file containing clusters generated by BlockClust
+ * Pairwise similarities of blockgroups generated by BlockClust
-**Output**
-1) Pre-processing mode:
-BED file of tags with expressions
+**Outputs**
+
+1. Pre-processing mode:
+ * BED file of tags with expressions
-2) Clustering and classification:
-Hierarchical clustering plot of all input blockgroups by their similarity
-Pairwise similarities of all input blockgroups
-BED file containing predicted clusters
-BED file containing prediction of blockgroups by pre-compiled SVM binary classification model.
+2. Clustering and classification:
+ * Hierarchical clustering plot of all input blockgroups by their similarity
+ * Pairwise similarities of all input blockgroups
+ * BED file containing predicted clusters
+ * BED file containing prediction of blockgroups by pre-compiled SVM binary classification model.
-3) Post-processing:
-Distribution of clusters with annotations searched against Rfam database
-hierarchical clustering made out of centroids of each BlockClust predicted cluster
+3. Post-processing:
+ * Distribution of clusters with annotations searched against Rfam database
+ * Hierarchical clustering made out of centroids of each BlockClust predicted cluster
------
diff -r 27dde42069e0 -r 49e600128a73 tool_dependencies.xml
--- a/tool_dependencies.xml Tue Jul 08 13:18:16 2014 -0400
+++ b/tool_dependencies.xml Wed Jul 09 08:38:01 2014 -0400
@@ -70,21 +70,21 @@
$INSTALL_DIR/data/annotations
https://github.com/bgruening/download_store/raw/master/blockclust/blockclust-data-1.0/annotations/dm3.tar.gz
- tar xfvz dm3.tar.gz -C $INSTALL_DIR/data/annotations/
+ cd ..; tar xfvz dm3.tar.gz -C $INSTALL_DIR/data/annotations/
https://github.com/bgruening/download_store/raw/master/blockclust/blockclust-data-1.0/annotations/hg19.tar.gz
- tar xfvz hg19.tar.gz -C $INSTALL_DIR/data/annotations/
+ cd ..; tar xfvz hg19.tar.gz -C $INSTALL_DIR/data/annotations/
https://github.com/bgruening/download_store/raw/master/blockclust/blockclust-data-1.0/annotations/mm10.tar.gz
- tar xfvz mm10.tar.gz -C $INSTALL_DIR/data/annotations/
+ cd ..; tar xfvz mm10.tar.gz -C $INSTALL_DIR/data/annotations/
https://github.com/bgruening/download_store/raw/master/blockclust/blockclust-data-1.0/annotations/panTro4.tar.gz
- tar xfvz panTro4.tar.gz -C $INSTALL_DIR/data/annotations/
+ cd ..; tar xfvz panTro4.tar.gz -C $INSTALL_DIR/data/annotations/
https://github.com/bgruening/download_store/raw/master/blockclust/blockclust-data-1.0/annotations/rheMac3.tar.gz
- tar xfvz rheMac3.tar.gz -C $INSTALL_DIR/data/annotations/
+ cd ..; tar xfvz rheMac3.tar.gz -C $INSTALL_DIR/data/annotations/
https://github.com/bgruening/download_store/raw/master/blockclust/blockclust-data-1.0/annotations/celWS235.tar.gz
- tar xfvz celWS235.tar.gz -C $INSTALL_DIR/data/annotations/
+ cd ..; tar xfvz celWS235.tar.gz -C $INSTALL_DIR/data/annotations/
https://github.com/bgruening/download_store/raw/master/blockclust/blockclust-data-1.0/annotations/tair10.tar.gz
- tar xfvz tair10.tar.gz -C $INSTALL_DIR/data/annotations/
+ cd ..; tar xfvz tair10.tar.gz -C $INSTALL_DIR/data/annotations/
https://github.com/bgruening/download_store/raw/master/blockclust/blockclust-data-1.0/models.tar.gz
- tar xfvz models.tar.gz -C $INSTALL_DIR/data/
+ cd ..; tar xfvz models.tar.gz -C $INSTALL_DIR/data/
$INSTALL_DIR/bin
$INSTALL_DIR/data