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A growing body of works address automated mining of biochemical knowledge from digital repositories of scientific literature, such as MEDLINE. Some of these works use abstracts as the unit of text from which to extract facts. Others use sentences for this purpose, while still others use phrases. Here we compare abstracts, sentences, and phrases in MEDLINE(More)
The study of the metabolite complement of biological samples, known as metabolomics, is creating large amounts of data, and support for handling these data sets is required to facilitate meaningful analyses that will answer biological questions. We present a data model for plant metabolomics known as ArMet (architecture for metabolomics). It encompasses the(More)
BACKGROUND Despite the mounting research on Arabidopsis transcriptome and the powerful tools to explore biology of this model plant, the organization of expression of Arabidopsis genome is only partially understood. Here, we create a coexpression network from a 22,746 Affymetrix probes dataset derived from 963 microarray chips that query the transcriptome(More)
Biotin-containing proteins are found in all forms of life, and they catalyze carboxylation, decarboxylation, or transcarboxylation reactions that are central to metabolism. In plants, five biotin-containing proteins have been characterized. Of these, four are catalysts, namely the two structurally distinct acetyl-CoA carboxylases (heteromeric and(More)
  • Micheline N. Ngaki, Gordon V. Louie, Ryan N. Philippe, Gerard Manning, Florence Pojer, Marianne E. Bowman +4 others
  • 2012
Phylogenetic and sequence analyses. Homologs of AtCHI were gathered by psi-blast from the NCBI NR database, followed by iterative profile HMM building and searches against public protein, expressed sequence tag (EST) and genome sequence databases. Gene models were built with Genewise 1 and refined manually. Protein sequences in each class were aligned with(More)
Metabolomics is developing as an important functional genomics tool; however, there is still room for technical improvements in both the large-scale determination of metabolites from complex plant tissues and the dissemination of metabolomics research data. For the continued maturation of metabolomics, the following three objectives need to be achieved: (i)(More)
MetNet (http://www.botany.iastate.edu/ approximately mash/metnetex/metabolicnetex.html) is publicly available software in development for analysis of genome-wide RNA, protein and metabolite profiling data. The software is designed to enable the biologist to visualize, statistically analyse and model a metabolic and regulatory network map of Arabidopsis,(More)
MOTIVATION Metabolic networks combine metabolism and regulation. These complex networks are difficult to understand and visualize due to the amount and diverse types of information that need to be represented. For example, pathway information gives indications of interactions. Experimental data, such as transcriptomics, proteomics and metabolomics data,(More)
This paper describes the initial development of a tool that helps find and visualize metabolic networks. The tool is written in Java™ and consists of two parts. The first part is a text-mining tool that pulls out potential metabolic relationships from the existing database PubMed. These relationships are then reviewed by a domain expert and added to an(More)
BACKGROUND Elucidating metabolic network structures and functions in multicellular organisms is an emerging goal of functional genomics. We describe the co-expression network of three core metabolic processes in the genetic model plant Arabidopsis thaliana: fatty acid biosynthesis, starch metabolism and amino acid (leucine) catabolism. RESULTS These(More)