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Christian Lemer

Researcher at Université libre de Bruxelles

Publications -  10
Citations -  1413

Christian Lemer is an academic researcher from Université libre de Bruxelles. The author has contributed to research in topics: BioPAX : Biological Pathways Exchange & Genome. The author has an hindex of 7, co-authored 10 publications receiving 1351 citations.

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The BioPAX community standard for pathway data sharing

Emek Demir, +94 more
- 01 Sep 2010 - 
TL;DR: Thousands of interactions, organized into thousands of pathways, from many organisms are available from a growing number of databases, and this large amount of pathway data in a computable form will support visualization, analysis and biological discovery.
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CYGD: the Comprehensive Yeast Genome Database

TL;DR: The Comprehensive Yeast Genome Database (CYGD) compiles a comprehensive data resource for information on the cellular functions of the yeast Saccharomyces cerevisiae and related species, chosen as the best understood model organism for eukaryotes.
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Protein structure prediction by threading methods: Evaluation of current techniques

TL;DR: It is found that threading methods are capable of identifying the correct fold in many cases, but not reliably enough as yet, and threading can presently not be relied upon to derive a detailed 3D model from the amino acid sequence.
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The aMAZE LightBench: a web interface to a relational database of cellular processes

TL;DR: The aMAZ LightBench is a web interface to the aMAZE relational database, which contains information on gene expression, catalysed chemical reactions, regulatory interactions, protein assembly, as well as metabolic and signal transduction pathways.

BioPAX - Biological Pathways Exchange Language Level 2, Version 1.0 Documentation

TL;DR: The scope of BioPAX is expanded to include representation of molecular binding interactions, protein post-translational modifications, basic experimental descriptions, and hierarchical pathways, which will increase access to and uniformity of pathway data from varied sources, thus increasing the efficiency of computational pathway research.