Artificial intelligence publications
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Curation Accuracy of Model Organism Databases
We assessed the accuracy of EcoCyc and CGD by manually selecting curated assertions within randomly chosen EcoCyc and CGD gene pages and by then validating that the data found in…
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An Autoencoder with Bilingual Sparse Features for Improved Statistical Machine Translation
We propose a natural autoencoder that maps all the discrete and overlapping sparse features for each SCFG rule into a continuous vector, so that the information encoded in sparse feature…
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Addition of Escherichia coli K-12 Growth Observation and Gene Essentiality Data to the Ecocyc Database
We have integrated data on the growth or nongrowth of E. coli K-12 obtained from published observations using a variety of individual media and from high-throughput phenotype microarrays into the…
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Addition of Escherichia coli K–12 Growth-Observation and Gene Essentiality Data to the EcoCyc database
We have integrated data on the growth or nongrowth of E. coli K-12 obtained from published observations using a variety of individual media and from high-throughput phenotype microarrays into the EcoCyc database.
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PortEco: A Resource for Exploring Bacterial Biology through High-Throughput Data and Analysis Tools
PortEco ( http://porteco.org) aims to collect, curate and provide data and analysis tools to support basic biological research in Escherichia coli.
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The Metacyc Database of Metabolic Pathways and Enzymes and the Biocyc Collection of Pathway/Genome Databases
MetaCyc (MetaCyc.org) is a universal database of metabolic pathways and enzymes from all domains of life. The pathways in MetaCyc are curated from the primary scientific literature, and are experimentally…
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The EcoCyc Database
The long-term goal of the project is to describe the complete molecular catalog of the E. coli cell, as well as the functions of each of its molecular parts, to…
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The MetaCyc database of pathways and enzymes and the BioCyc collection of Pathway/Genome Databases
The MetaCyc database (MetaCyc.org) is a comprehensive and freely accessible database describing metabolic pathways and enzymes from all domains of life.
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Evaluating Multimedia Features and Fusion for Example-Based Event Detection
To study the value of multimedia features and fusion for representing and learning events from a set of example video clips, we created SESAME, a system for video SEarch with…
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Unsupervised Discovery and Extraction of Semi-Structured Regions in Text Via Self-Information
We present initial work that uses significant patterns to generate extraction rules, and conclude with a discussion of future directions of our work.
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Metabolic Reconstruction Databases and Their Application to Metabolomics Research
This chapter describes the MetaCyc family of Pathway/Genome Databases (PGDBs).
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Dead End Metabolites – Defining the Known Unknowns of the E. coli Metabolic Network
We have analysed the occurrence of dead end metabolites within the database – these are metabolites which lack the requisite reactions (either metabolic or transport) that would account for their…