This is a Macintosh program for drawing gene maps. It requires the
data  also  in  this  directory,  or  else  data  in  these  formats.  The
files are:
  flybase/clones/ucla.genemap/newkb.txt
  flybase/clones/ucla.genemap/genedraw.data
  flybase/clones/ucla.genemap/genedraw.readme
  flybase/clones/ucla.genemap/genefix.txt
  flybase/clones/ucla.genemap/kb4band.txt
  flybase/clones/ucla.genemap/genedraw.hqx


How To Make Your Own Map Of Clones

Introduction

Genetic information about a chromosome location (eg clones, deletions or
inversions, transcript units) is often easier to comprehend from a graph
than a table. The Genedraw program presented here converts the clone list
table to a graph showing clone locations along the salivary gland
chromosome map. Because distances between polytene locations are uneven due
to band sizes and compaction, we wrote the program to "stretch out" the
chromosome by incorporating the DNA length estimates of the individual
bands. These data were kindly supplied by V. Sorsa  
(Chromosome Maps of Drosophila, CRC Press, 1988). Genedraw was written in
Think C to preserve the Mac display functions. 
 
Implementation Outline

1. How to down-load the genedraw program and data files
2. How to decompress the genedraw program
3. How to execute the genedraw program with data


1.  How to down-load the genedraw program and data files

When you double-click ucla.genemap folder, you will see the following
files.
	genedraw.readme
	genedraw
	genedraw.data
	genefix
	kb4band
	newkb

  Now, double-click genedraw.data, and it will copy the file onto your
MacIntosh.
	The Gopher may say the file is too long, but don't worry, the whole
content will be 	copied.
  double-click genefix and the window will pop up showing the content of
genefix.
	Move your cursor to File menu and choose Save a Copy.
	Then it will ask you in what name you want to save the file.
	Type genefix.txt.
	(This is important: the name of this file on your Mac should be
genefix.txt.)
  Repeat the same step for kb4band and newkb.
	(Again, it is extremely  important that these files should be saved as 
	kb4band.txt and newkb.txt)
  Finally, double-click genedraw.  
	Then it will ask you in what name you are going to save this.
	Answer genedraw.sit.
	Then in most cases, the program called StuffIt  will automatically run,
	popping up a window showing genedraw.exe highlighted in it.
	(As you may notice from the icon, genedraw is a Macintosh BINHEX
	file(compressed).
	It means we have to do an extra work to decompress it).
   Detailed steps of decompression are continued in the next section.


2.  How to decompress the genedraw program

Continuing from the above section, there can be 2 possibilities.  Either
StuffIt  is automatically activated or not.  But, in either case, you
should have StuffIt  program on your Macintosh.

  If StuffIt  is executed automatically, a window will pop up showing
   genedraw.exe   highlighted. 
  Just double-click it, and it will ask you again in what name you want to
save it.
  Answer any name you like(preferably genedraw.exe).
  Then you will see a new icon or a file name of genedraw.exe.

If StuffIt  does not run automatically, you decompress the file
genedraw.sit using StuffIt  manually.
  Open the file which is created by saving the genedraw from Gopher.
  Move your mouse to Other of the menu and select it, Then choose Decode
BinHex 
   File.....
  Confirm if the decompressed file is created.




3.  How to execute the genedraw program with data

Running genedraw is simple.  Just double-click the icon or file name of the
decompressed genedraw file(in most cases, genedraw.exe).
But, one  important  thing is that you must have newkb.txt and kb4band.txt
and genedraw.data in the same folder.  Especially, confirm the name of
newkb.txt and kb4band.txt. 
If even one file is missing or saved in other names, genedraw can not work.

The scroll bar on the screen bottom lets you change the chromosome section
you want to display. This version of Genedraw gives you a choice from a
pull down menu of either one or two numbered sections per screen.

Comments and questions please to JMERRIAM@cognet.UCLA.edu.