From owner-bio-srs@hgmp.mrc.ac.uk  Wed Jan 16 10:02:35 2002
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To: bionet-software-srs@net.bio.net
From: "Tomohiro Koike" <tkoike@genes.nig.ac.jp>
Newsgroups: bionet.software.srs
Subject: Problem on SRS6.1.3 with GenBank
Organization: National Institute of Genetics, Japan.
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Hello all,

We are using SRS, and now trying to upgrade our system
to version 6.1.3.  But unfortunately, we found 6.1.3 always
failed to search any keywords with GenBank or DDBJ data
as target library.

And we also found this problem is not only on our particular
environment.  There are some public SRS 6.1.3 servers on
the net, but as far as we know, several of them have same
problem.  Following two servers are a part of them.

genius.embnet.dkfz-heidelberg.de/menu/cgi-bin/srs/wgetz
srs.im.ac.cn/srs6bin/cgi-bin/wgetz

When we try to search a keyword, say "1111", with selecting
GenBank (or DDBJ) as target library, SRS's cgi returns an
error message like this:
      error 
      library ID does not exist no library with ID "19767" is defined  


We are investigating this problem, and so far, we found several
facts;

a) size of data
    When we index DDBJ dataset, indexing would finish without any
error log message, but searches would fail.
    When we cut DDBJ dataset into half, both half can successfully
be indexed and searched.  This fact suggests that this problem may
depends on size of input data, or index, rather than data quality.

b) field to search
    As far as we tested so far, the only field that can cause the
problem is "FtDescription".  Other fields look ok, but "Quick
Search" includes FtDescription, thus it doesn't.

Any work around, suggestions, comments are welcome.

Thank you,

Tomohiro Koike
DNA Databank of Japan



From owner-bio-srs@hgmp.mrc.ac.uk  Wed Jan 16 10:02:42 2002
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From: "iDEAL'02" <ideal@umist.ac.uk>
Newsgroups: bionet.software.srs
Subject: CFP: IDEAL'02 3rd International Conference on Intelligent Data Engineering & Automated Learning
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
IDEAL 2002, Third International Conference on
Intelligent Data Engineering and Automated Learning
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Call for Papers
12-14 August, 2002
Manchester, UK
http://ideal02.ee.umist.ac.uk
ideal@umist.ac.uk

IDEAL is a biennial conference dedicated to emerging and challenging topics
in intelligent data analysis and engineering and their associated learning
paradigms. Following the highly successful IDEAL'98 and IDEAL'00 conferences
held in Hong Kong, the third conference in this series will bring together
researchers, scientists and practitioners from all over the world to present
their findings, to exchange ideas, and to share their successes. IDEAL is an
ideal forum for revealing and developing the latest theoretical advances and
practical applications in intelligent data engineering and automated
learning. The main themes of the conference are Document Analysis and
Management, Data Mining and Fusion, Financial Engineering, Agents, and
Bioinformatics. IDEAL'02 will be held at UMIST (University of Manchester
Institute of Science and Technology), Manchester, UK, a university with a
reputation of innovation and a long history in leading research and
development. Manchester is the birthplace of the industrial revolution, the
computer revolution and many developments in artificial intelligence. The
conference is organised in collaboration with the IEEE Neural Networks
Council.

Conference Topics
Technical areas include, but are not limited to:
DOCUMENT ANALYSIS:
* Text and Web Mining
* Document Classification and Clustering
* Indexing and Retrieval Methods
* Knowledge Discovery
* Probabilistic and Statistical Learning
* Pattern Recognition
DATA MINING:
* Sequential and Time series Analysis
* Multivariate Data Visualisation
* Internet and Multimedia Database
* Data Warehouse and E-organisations
* Multi-model Data Analysis
* Medical Diagnosis and Database

FINANCIAL ENGINEERING:
* Portfolio Management
* Risk Analysis and Management
* Fraud Detection
* Modelling and Forecasting
* Electronic Commerce
* Statistics and Econometrics

LEARNING AND AGENTS:
* Neural Networks and Emergent Systems
* Evolutionary Computation
* Fuzzy Logic
* Multi-agents Systems
* Autonomous Agents
* Agent Architectures and Protocols
* Collaborative and Collective learning
* Evolution, Learning and Adaptation

BIOINFORMATICS:
* Protein Structural Prediction
* Microarray Informatics
* Gene Prediction
* Novel Computational Algorithms and Tools

Important Dates:
*Submission of Paper 1 March 2002
*Notification of Acceptance 20 April 2002
*Final Camera-Ready Paper 1 June 2002

Submission and Publication:
Authors are invited to submit manuscripts written in English. Papers should
be in one column format and single-spaced format. Text and illustrations
should fill, but not extend an area of 122 mm x 193 mm. Please use 10-point
Times-Roman font. Each paper should not exceed six pages including figures
and references. Authors can either submit four copies of their manuscript to
the IDEAL 2002 Secretariat (contact address shown below) or submit a
postscript or PDF file of their paper by email (ideal@umist.ac.uk). All
submissions will be refereed by experts in the field based on originality,
significance, quality and clarity. The accepted papers will be included in
IDEAL 2002 Proceedings to be published by Springer-Verlag in the prestigious
Lecture Notes in Computer Science series. Camera-Ready papers must comply
with the format of LNCS/LNAI proceedings
(<http://www.springer.de/comp/lncs>).

Contact Information:
IDEAL 2002 Secretariat
Dept. of Electrical Engineering and Electronics
UMIST
PO Box 88
Manchester, M60 1QD, England
Fax: +44 (0) 161 200 4784
Email: ideal@umist.ac.uk
<http://ideal02.ee.umist.ac.uk>

IDEAL 2002 People
International Advisory Committee:
Lei Xu, Chinese University of Hong Kong (Chair)
Yaser Abu-Mostafa, CALTECH, USA
Shun-ichi Amari, RIKEN, Japan
Michael Dempster, University of Cambridge, UK
Nick Jennings, University of Southampton, UK
Erkki Oja, Helsinki University of Technology, Finland
Burkhard Rost, Columbia University, USA
Programme Committee:
Nigel Allinson, UMIST, UK (Chair)
Jim Austin, University of York, UK
Hamid Bolouri, University of Hertfordshire, UK
Max Bramer, University of Portsmouth, UK
Laiwan Chan, Chinese University of Hong Kong
Tom Downs, University of Queensland, Australia
Colin Fyfe, University of Paisley, UK
Joydeep Ghosh, University of Texas, USA
Tony Holden, University of Cambridge, UK
Simon Hubbard, UMIST, UK
David Jones, University College London (UCL), UK
Samuel Kaski, Helsinki University of Technology, Finland
John Keane, UMIST, UK
Martin Kersten, CWI Amstedam, Netherlands
Irwin King, Chinese University of Hong Kong
Chris Kirkham, AXEON Ltd, Scotland, UK
Jimmy Lee, Chinese University of Hong Kong
Kwong S. Leung, Chinese University of Hong Kong
Malik Magdon-Ismail, Rensselaer Polytechnic Institute, USA
Luc Moreau, University of Southampton, UK
Jose Principe, University of Florida, USA
Omer Rana, University of Wales, Cardiff, UK
Vic Rayward-Smith, University of East Anglia, UK
Jennie Si, Arizona State University, USA
Ben Stapley, UMIST, UK
Atsuhiro Takasu, National Institute of Informatics, Japan
Marc van Hulle, K. U. Leuven, Belgium
Lipo Wang, Nanyan Technological University, Singapore
Olaf Wolkenhauer, UMIST, UK
Andy Wright, BAE Systems, UK
Xin Yao, University of Birmingham, UK
Xinfeng Ye, University of Auckland, New Zealand
Hujun Yin, UMIST, UK
Hans-Georg Zimmermann, Siemens, Germany

Organising Committee:
Hujun Yin, UMIST (Chair)
Nigel Allinson, UMIST
Richard Freeman, UMIST
Simon Hubbard, UMIST
John Keane, UMIST

Asia Liaison:
Yiu-ming Cheung, Hong Kong Baptist University

America Liaison:
Malik Magdon-Ismail, Rensselaer Polytechnic Institute, USA




From owner-bio-srs@hgmp.mrc.ac.uk  Tue Jan 22 12:38:57 2002
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To: bionet-software-srs@moderators.isc.org
From: Guy Bottu <gbottu@bigben.vub.ac.be>
Newsgroups: bionet.software.srs
Subject: Re: Problem on SRS6.1.3 with GenBank
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I remember we had similar problems with EMBL under SRS 6.0. The cause
being that the FtDescription index file grows beyond the limit of
2Gbyte. SRS 6.1.3 however should be able to manage big index files
without problem. Is there maybe a problem with your operating system ?

	Guy Bottu


From owner-bio-srs@hgmp.mrc.ac.uk  Thu Jan 24 11:05:59 2002
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To: bionet-software-srs@moderators.isc.org
From: Przemko Tylzanowski <przemko@med.kuleuven.ac.be>
Newsgroups: bionet.software.srs,bionet.software
Subject: Complex query retrieval question
Organization: KULeuvenNet
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Hi!
Long time ago existed a program called TargetFinder- it was used to
identify sequences of interest (e.g. targets for transcription factors)
in promoters. The superiority of that program over EPD was that it was
not limited to 600bp of the promoter. Anyway, italians took it offline
(after publishing it!). So, I am stuck now.

What I would like to do is the following. Identify in the GenBank (or
EMBL- does not matter) all sequences containing promoters, enhancers
and/or sequences upstream of TATA of mouse or human origin (at this
point forget about TATA-less). This bit is easy. I can do it using SRS
(funny part is- it will work on the server in England but not
Brussels...). But here problems start. What I get as an output is the
Feature Sequence (I ask for it) but also the rest of the gene. In cases
of large genomic sequences this is VERY PAINFUL... What I would like to
do is yo  extract from these initial hits (between 2000-4500 depending
on the selection of databases) ONLY the sequences containing the
promoter part (IT WAS POSSIBLE IN SRS4- command line). There I could
say- get me the feature and all sequences that are -2000 and +100 from
it. Then I would like to build a database and then run Findpatterns or
something like that. So, I guess I need a combination of SRS and
GCG/EMBOSS.
So, HOW DO I DO IT IN SRS6? I know that I could probably write something
in PERL, the problem is I don't really know it.

Any suggestions, solutions are welcome!

Przemko


--
Przemko Tylzanowski Ph.D.
LSD & Joint
O & N
University of Leuven
Herestraat 49
3000 Leuven
Belgium

phone: (32-16)34-61-96
fax  : (32-16)34-62-00



