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234
Voted
BIBE
2004
IEEE
160views Bioinformatics» more  BIBE 2004»
15 years 6 months ago
A Time Series Analysis of Microarray Data
As the capture and analysis of single-time-point microarray expression data becomes routine, investigators are turning to time-series expression data to investigate complex gene r...
Selnur Erdal, Ozgur Ozturk, David L. Armbruster, H...
229
Voted
CSB
2004
IEEE
208views Bioinformatics» more  CSB 2004»
15 years 6 months ago
Pair Stochastic Tree Adjoining Grammars for Aligning and Predicting Pseudoknot RNA Structures
Motivation: Since the whole genome sequences for many species are currently available, computational predictions of RNA secondary structures and computational identifications of t...
Hiroshi Matsui, Kengo Sato, Yasubumi Sakakibara
227
Voted
BIBE
2004
IEEE
128views Bioinformatics» more  BIBE 2004»
15 years 6 months ago
Towards a Proteomics Meta-Classification
There is a recognized need for a meta-classification that can serve as a foundation for more refined ontologies in the field of proteomics. Standard data sources classify proteins...
Anand Kumar, Barry Smith
190
Voted
APBC
2004
15 years 4 months ago
Representing Experimental Biological Data in Metabolic Networks
This paper describes a novel approach to representing experimental biological data in metabolic networks. The aim is to allow biologists to visualise and analyse the data in the c...
Tim Dwyer, Hardy Rolletschek, Falk Schreiber
186
Voted
APBC
2004
173views Bioinformatics» more  APBC 2004»
15 years 4 months ago
RNA Secondary Structure Prediction with Simple Pseudoknots
Pseudoknots are widely occurring structural motifs in RNA. Pseudoknots have been shown to be functionally important in different RNAs which play regulatory, catalytic, or structur...
Jitender S. Deogun, Ruben Donts, Olga Komina, Fang...
Bioinformatics
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