From Heather.Vincent from manchester.ac.uk  Thu Sep  4 03:14:05 2008
From: Heather.Vincent from manchester.ac.uk (Heather Vincent)
Date: Sat Sep  6 12:18:03 2008
Subject: [Molecular-evolution] Theory and Applications in Bioinformatics
Message-ID: <48BF98CD.9040907@manchester.ac.uk>

Theory and Applications in Bioinformatics is a distance learning course 
from the University of Manchester, UK.  It will of interest to those who 
need to gain confidence in the use of statistics for molecular 
evolution.  The course covers:

	Introduction to Probability and Statistics using Matlab
	Traditional Sequence Alignment and Search
	Introduction to Probabilistic Sequence Models
	Markov Chains and HMM Applications
	Phylogenetic Methods

This is a Masters level course, so credits can count towards the MSc in 
Bioinformatics. 
(http://www.ls.manchester.ac.uk/postgraduate/distancelearning/).

The course is delivered in a Virtual Learning Environment, which allows 
us to extend the classroom into the web.  Teaching and learning are 
focussed around tutor-supported exercises.  Additional information is 
available here : 
http://octette.cs.man.ac.uk/bioinformatics/modules/bs6120.html or from 
Heather.Vincent@manchester.ac.uk

From kinshuk_nayak from yahoo.co.in  Wed Sep 24 00:13:41 2008
From: kinshuk_nayak from yahoo.co.in (Kinshuk Nayak)
Date: Wed Sep 24 04:03:52 2008
Subject: [Molecular-evolution] help for PROTDIST similarity and distance
	matrix
Message-ID: <626192.2509.qm@web94615.mail.in2.yahoo.com>

Sir,
Please help me to find amino acid sequence similarity percentage matrix in traingular form(upper/lower) using PRODIST with Dayoff PAM matrix of 60 sequences.Could you please send me some steps and options for finding the required output.

Kinshuk Chandra Nayak 
Distributed Information Sub-Centre
Institute of Life Sciences
Department of Biotechnology,
Bhubaneswar-751023,
India


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From buenasdiaz from gmail.com  Tue Sep 30 18:19:48 2008
From: buenasdiaz from gmail.com (fdjask)
Date: Wed Oct  1 05:50:11 2008
Subject: [Molecular-evolution] Genetic Algorithms in Search, Optimization,
	and Machine Learning by Goldberg
Message-ID: <8afa8582-e78e-4292-92e4-8e66a0a15df8@m44g2000hsc.googlegroups.com>

Looking for a free version of this book