Newsletter Archives
Applications are invited for two anticipated research fellowships in computational approaches to understanding the molecular nature of cancer. One position is specifically dedicated to developing tools and techniques for analyzing gene expression data from the National Cancer Institute's Advanced Technology Center. The other position is more open-ended, intended for researchers interested in any aspect of the development and application of advanced machine learning or statistical techniques in the molecular biology of cancer.
The positions will be in the section on Molecular Statistics and Bioinformatics, a recently formed group under the leadership of Dr. Lawrence Hunter. We are machine learning researchers, statisticians, molecular biologists and physicians working to develop computational methods to take advantage of the rapid growth of molecular biological data about cancer, including sequences of oncogenes, gene expression profiles of neoplastic tissues, high throughput screening of anti-tumor compounds, and allellic variation assays such as SNPs. The lab has abundant computational resources, and ready access to all NIH facilities. Candidates should be highly motivated, with excellent programming and writing skills, and a solid understanding of molecular biology. We expect to fill these positions with post-doctoral researchers, but good candidates at more junior or more senior levels may be accommodated. Salaries will be on
 To apply, send a CV, one 
  or two (p)reprints, a brief description of your motivations and goals, and the 
  names, email addresses and phone numbers of at least three references to the 
  address below. Email is preferred, but fax or mail applications are also acceptable.
  
  Larry Hunter
  Molecular Statistics and Bioinformatics 
  National Cancer Institute, MS-9105
  7550 Wisconsin Ave., Room 3C06
  Bethesda, MD 20892-9015
  
  tel: +1 (301) 402-0389
  fax: +1 (301) 480-0223
  email: lhunter@nih.gov
  
   4) CALL FOR ISMB'99 POSTERS AND SOFTWARE DEMONSTRATIONS
   DEADLINE: May 28, 1999
  NOTIFICATION: June 10, 1999
  
  ATTEND ONE OF THE PREMIER INTERNATIONAL MEETINGS IN BIOINFORMATICS AND ENJOY 
  THE RARE SIGHT OF A TOTAL SOLAR ECLIPSE
  
  The Seventh International Conference on Intelligent Systems for Molecular Biology 
  (ISMB '99) announces a call for posters and software demonstrations. The conference 
  will take place in Heidelberg, Germany on August 6 - 10, 1999. For more information 
  on the conference visit the web site.
  
  http://ismb99.gmd.de POSTERS:
  
  Please send a one-page abstract 
  by the above deadline. We only accept electronic submissions (PS or PDF format). 
  Please use font size at least 10pt and format to fit European Standard A4 but 
  make sure that all of the text is also displayed in US letter size. Please include 
  the following information in this order: title, author(s), affiliation, email 
  address in the header, then followed by the abstract text and completed with 
  a list of references. 
  
  Please send all of this information to ismb99@gmd.de
  
  The actual poster space will be 190x100 cm (HEIGHT x WIDTH). A booklet with 
  the accepted poster abstracts will be available at the conference.
  
  SOFTWARE DEMONSTRATIONS:
   If you represent an academic 
  group you can present your software at our university booth. We intend to set 
  one table including space for a temporary poster (for the time of demonstration) 
  aside for software demonstrations. The table will feature electricity and network 
  connection as well as a large monitor screen. The default will be for you to 
  bring your own laptop for the presentation. A time schedule for software demonstrations 
  will be prepared ahead of the conference. If you want to demonstrate your software, 
  please send a one-page abstract describing your system, adhering to the guidelines 
  for posters. In your email sending the abstract, please qualify your contribution 
  as a software demonstration. 
  
  
  DEADLINE: May 28, 1999
  NOTIFICATION: June 10, 1999
  
  
   5) WASHINGTON UNIVERSITY INTENSIVE SHORT COURSE FOR 
  COMPUTATIONAL MOLECULAR BIOLOGY
   Dates: July 26 to 30th, 1999
  
  http://www.ibc.wustl.edu/CMB/shortcourse99.html 
  
The faculty of the computational molecular biology program at Washington University in St. Louis offers an introduction to computational molecular biology as a 5 day intensive short course. The course combines an introduction to the theory and practice of molecular sequence analysis with an intensive session on programming in PERL. The course is offered at a graduate level and is intended to be accessible to professional scientists in molecular biology and biotechnology. Our aim is to provide an understanding of how and why different analytic approaches are used including their limitations as well as capabilities. We emphasize the use of public domain software tools rather than focusing on a specific commercial package. The PERL programming sessions are offered in two sections one targeted to professional software developers and the other to scientists with a limited background in computer programming.
The format is a 5-day course with 6 hours of class time each day (3 hrs. in the morning and 3 hrs in the afternoon) for a total of 30 contact hours. The course (BME-72-537A) is offered through the Washington University Summer School and carries two units of graduate credit at Washington University. It is an intensive and challenging course that covers most of the material offered in our regular graduate course on computational biology in a format that is accessible to working scientists as well as faculty and staff with interests in learning new technology.
 A CD-ROM containing course 
  lecture notes, problem sets, programming exercises, public domain software and 
  reference material will be distributed. All students are asked to bring a laptop 
  computer (Windows/Intel) for use in the programming sessions. 
  
  Faculty Department
  David States Institute for Biomedical Computing
  Michael Zuker Institute for Biomedical Computing
  Volker Nowotny Institute for Biomedical Computing
  Warren Gish Department of Genetics
  
  Location: Newman Educational Center, Washington University in St. Louis
  
  To register for this course you must bring in or fax your registration form 
  to the continuing Education Department at Washington University. Forms can be 
  obtained from:
  
  Washington University 
  Continuing Education Department
  Lopata Hall #303
  Campus Box 1220
  St. Louis, MO 63130
  Phone: 314-935-5484
  Fax: 314-935-5449
  http://www.seas.wustl.edu/classes/SumSchl98.html