Wednesday, May 28, 2008

Abstract for talk [I:ISBM08PUB] The Future of Scientific Publishing at ISMB-2008 on 21 July 2008


Understanding Protein Function on a Genome-scale using Networks

The Future of Scientific Publishing: Mining Publications to Study the Structure
of Science

My talk will focus on a vision for Scientific Publishing: How we could
potentially mine all the information in publications, to glean new scientific
facts and to study the structure of science itself. I'll provide some
illustrations of the latter. I will also talk about some impediments to
realizing this vision and potential solutions.

Mark Gerstein
Yale University

Open access: taking full advantage of the content.
PE Bourne, JL Fink, M Gerstein (2008) PLoS Comput Biol 4: e1000037.

Uncovering trends in gene naming.
MR Seringhaus, PD Cayting, MB Gerstein (2008) Genome Biol 9: 401.

Structured digital abstract makes text mining easy.
M Gerstein, M Seringhaus, S Fields (2007) Nature 447: 142.

RNAi development.
M Gerstein, SM Douglas (2007) PLoS Comput Biol 3: e80.

Chemistry Nobel rich in structure.
M Seringhaus, M Gerstein (2007) Science 315: 40-1.

Data mining on the web.
A Smith, M Gerstein (2006) Science 314: 1682; author reply 1682.

Tools needed to navigate landscape of the genome.
M Gerstein (2006) Nature 440: 740.

PubNet: a flexible system for visualizing literature derived networks.
SM Douglas, GT Montelione, M Gerstein (2005) Genome Biol 6: R80.

Annotation of the human genome.
M Gerstein (2000) Science 288: 1590.

E-publishing on the Web: promises, pitfalls, and payoffs for bioinformatics.
M Gerstein (1999) Bioinformatics 15: 429-31.

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