Address comments

README.md

@@ -10,7 +10,7 @@ It monitors CPU and RAM usage, and reports the time span of each algorithm (curr
 
 To profile the `SNSPowderReduction.py` workflow:
 ```
-python SNSPowderReduction.py & python path/to/mantid-profiler/mantid-profiler.py $!
+python SNSPowderReduction.py & python path/to/mantid-profiler/src/mantidprofiler/mantidprofiler.py $!
 ```
 The script attaches to the last spawned process, so you can also use the profiler if you are working with `MantidPlot`:
 ```
@@ -41,6 +41,7 @@ You can interact with a demo profile [here](http://www.nbi.dk/~nvaytet/SNSPowder
 - `-h`, `--help`          show this help message and exit
 - `--outfile OUTFILE`    name of output html file (default: `profile.html`)
 - `--infile INFILE`      name of input file containing algorithm timings (default: `algotimeregister.out`)
+  -
 - `--logfile LOGFILE`    name of output file containing process monitor data (default: `mantidprofile.txt`)
 - `--diskfile DISKFILE`  name of output file containing process disk usage data (default: `mantiddisk.txt`)
 - `--interval INTERVAL`  how long to wait between each sample (in seconds). By default the process is sampled as often as possible. (default: None)

src/mantidprofiler/algorithm_tree.py

@@ -136,7 +136,7 @@ def apply_multiple_trees(trees, check, func):
 def parseLine(line):
     res = {
         "thread_id": re.search("ThreadID=([0-9]*)", line)[1],
-        "name": re.search("AlgorithmName=(.*)", line)[1],
+        "name": re.search("AlgorithmName=([a-zA-Z]*)", line)[1],
         "start": int(re.search("StartTime=([0-9]*)", line)[1]),
         "finish": int(re.search("EndTime=([0-9]*)", line)[1]),
     }