NTsys is a program to calculate various comparisions between
taxonomic data, e.g. microsatellite DNA analysis (MSDA) data.
Simple
use of the program
Set up the input data file:
For MSDA data, convert the
intensities to 0=missing and 1=present for each band.
Delete
all irrelevant information in the file, but keep the first row with
band lengths and one column with sample lables (or better one with
species and the second with sample lables, which then are
merged).
Save the file as a text file (csv or txt). Use space
as the field limiter.
Each field must be separated by at least
one blank space (not tab or comma).
With the note pad, add a
initial title line, starting with " as the first character.
The
second line should contain the type and size of the file with four
numbers:
1: Type: 1=rectangular matrix
2: #rows
3:
#columns
4: 0=no missing data present or 1=missing data
present, followed by the number for missing data, e.g. 99 or 999
2
and 3 can be followed by a letter L, B or E, indicating that a lable
is added as a separate field, before, or after the entry. Easiest is
to use B for rows and L for columns. See an example below.
When
going from Mac to PC, you have to insert a line break before each
line
Note, that ideally, you should set 99 missing data
when data is missing (i.e. not simply 0 everywhere).
Start ntsys
Go to Dis/similarity tab.
Select Qulitative data
Find
the input file (you need to show all files, instead of only NTS
files)
Check by rows
Select a coefficient. J is Jacard
index; M is Manhattan
Set the name of an output file
Positive
and negative codes can be kept
Click on Compute to start the
program
This gives you a Jacard similarity matrix
Close
the report listing window.
alternatively: use Internal
data (sim int); Manhattan; by row; compute
Go to Transformation tab.
Select Dcenter
Use the
results from the previous calculation as the input file
Select
an output file
Keep Square distances checked.
Click on
Compute to start the program
This is needed before
ordination
Close the report listing window.
Go to Ordination tab.
Select Eigen
Use the results
from the previous calculation as the input file
Select an
output file
All the default values are OK, but you could use
more dimensions or check Show details.
Click on Compute to
start the program
This performs the PCA.
Early in the
output, you can see the eigenvalues and how much of the variation
that is explained by the different components.
You get
the 2D-plot by clicking in the NTSYSpc window, lower left corner on
the first button.
You get the 3D-plot by clicking in the
NTSYSpc window, lower left corner on the second button.
Click
on Options - Plot Options - Points - Labels - Labels to see the
labels
Cluster
SAHN
läst Jaccard file
out UPGMA
Mega-X
gör träd
"Rubus data exported 20/1-19
1 4B 5L 1 99
144 146
148 150 152 #This is the column lables
tv-tv96 0 1 1 1 1 #First
column is row lables, first species than collect id
tv-tv97 0 1
1 1 1
tv-tv98 0 1 1 1 1
tv-tv99 0 99 99 99 99 #Missing data
If you get strange problems, try to restart the program and run again.
0593095A97A02FCC
s/n = MDMS4121I