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Dive into the research topics where Ingrid M. Keseler is active.

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Featured researches published by Ingrid M. Keseler.


Nucleic Acids Research | 2004

EcoCyc: a comprehensive database resource for Escherichia coli

Ingrid M. Keseler; Julio Collado-Vides; Socorro Gama-Castro; John L. Ingraham; Suzanne M. Paley; Ian T. Paulsen; Martín Peralta-Gil; Peter D. Karp

The EcoCyc database (http://EcoCyc.org/) is a comprehensive source of information on the biology of the prototypical model organism Escherichia coli K12. The mission for EcoCyc is to contain both computable descriptions of, and detailed comments describing, all genes, proteins, pathways and molecular interactions in E.coli. Through ongoing manual curation, extensive information such as summary comments, regulatory information, literature citations and evidence types has been extracted from 8862 publications and added to Version 8.5 of the EcoCyc database. The EcoCyc database can be accessed through a World Wide Web interface, while the downloadable Pathway Tools software and data files enable computational exploration of the data and provide enhanced querying capabilities that web interfaces cannot support. For example, EcoCyc contains carefully curated information that can be used as training sets for bioinformatics prediction of entities such as promoters, operons, genetic networks, transcription factor binding sites, metabolic pathways, functionally related genes, protein complexes and protein–ligand interactions.


Nucleic Acids Research | 2006

Escherichia coli K-12: a cooperatively developed annotation snapshot—2005

Monica Riley; Takashi Abe; Martha B. Arnaud; Mary K.B. Berlyn; Frederick R. Blattner; Roy R. Chaudhuri; Jeremy D. Glasner; Takashi Horiuchi; Ingrid M. Keseler; Takehide Kosuge; Hirotada Mori; Nicole T. Perna; Guy Plunkett; Kenneth E. Rudd; Margrethe H. Serres; Gavin H. Thomas; Nicholas R. Thomson; David S. Wishart; Barry L. Wanner

The goal of this group project has been to coordinate and bring up-to-date information on all genes of Escherichia coli K-12. Annotation of the genome of an organism entails identification of genes, the boundaries of genes in terms of precise start and end sites, and description of the gene products. Known and predicted functions were assigned to each gene product on the basis of experimental evidence or sequence analysis. Since both kinds of evidence are constantly expanding, no annotation is complete at any moment in time. This is a snapshot analysis based on the most recent genome sequences of two E.coli K-12 bacteria. An accurate and up-to-date description of E.coli K-12 genes is of particular importance to the scientific community because experimentally determined properties of its gene products provide fundamental information for annotation of innumerable genes of other organisms. Availability of the complete genome sequence of two K-12 strains allows comparison of their genotypes and mutant status of alleles.


Nucleic Acids Research | 2013

EcoCyc: fusing model organism databases with systems biology

Ingrid M. Keseler; Amanda Mackie; Martín Peralta-Gil; Alberto Santos-Zavaleta; Socorro Gama-Castro; César Bonavides-Martínez; Carol A. Fulcher; Araceli M. Huerta; Anamika Kothari; Markus Krummenacker; Mario Latendresse; Luis Muñiz-Rascado; Quang Ong; Suzanne M. Paley; Imke Schröder; Alexander Glennon Shearer; Pallavi Subhraveti; Michael Travers; Deepika Weerasinghe; Verena Weiss; Julio Collado-Vides; Robert P. Gunsalus; Ian T. Paulsen; Peter D. Karp

EcoCyc (http://EcoCyc.org) is a model organism database built on the genome sequence of Escherichia coli K-12 MG1655. Expert manual curation of the functions of individual E. coli gene products in EcoCyc has been based on information found in the experimental literature for E. coli K-12-derived strains. Updates to EcoCyc content continue to improve the comprehensive picture of E. coli biology. The utility of EcoCyc is enhanced by new tools available on the EcoCyc web site, and the development of EcoCyc as a teaching tool is increasing the impact of the knowledge collected in EcoCyc.


Briefings in Bioinformatics | 2010

Pathway Tools version 13.0: integrated software for pathway/genome informatics and systems biology

Peter D. Karp; Suzanne M. Paley; Markus Krummenacker; Mario Latendresse; Joseph M. Dale; Thomas J. Lee; Pallavi Kaipa; Fred Gilham; Aaron Spaulding; Liviu Popescu; Tomer Altman; Ian T. Paulsen; Ingrid M. Keseler; Ron Caspi

Pathway Tools is a production-quality software environment for creating a type of model-organism database called a Pathway/Genome Database (PGDB). A PGDB such as EcoCyc integrates the evolving understanding of the genes, proteins, metabolic network and regulatory network of an organism. This article provides an overview of Pathway Tools capabilities. The software performs multiple computational inferences including prediction of metabolic pathways, prediction of metabolic pathway hole fillers and prediction of operons. It enables interactive editing of PGDBs by DB curators. It supports web publishing of PGDBs, and provides a large number of query and visualization tools. The software also supports comparative analyses of PGDBs, and provides several systems biology analyses of PGDBs including reachability analysis of metabolic networks, and interactive tracing of metabolites through a metabolic network. More than 800 PGDBs have been created using Pathway Tools by scientists around the world, many of which are curated DBs for important model organisms. Those PGDBs can be exchanged using a peer-to-peer DB sharing system called the PGDB Registry.


Nucleic Acids Research | 2011

EcoCyc: a comprehensive database of Escherichia coli biology

Ingrid M. Keseler; Julio Collado-Vides; Alberto Santos-Zavaleta; Martín Peralta-Gil; Socorro Gama-Castro; Luis Muñiz-Rascado; César Bonavides-Martínez; Suzanne M. Paley; Markus Krummenacker; Tomer Altman; Pallavi Kaipa; Aaron Spaulding; John Pacheco; Mario Latendresse; Carol A. Fulcher; Malabika Sarker; Alexander Glennon Shearer; Amanda Mackie; Ian T. Paulsen; Robert P. Gunsalus; Peter D. Karp

EcoCyc (http://EcoCyc.org) is a comprehensive model organism database for Escherichia coli K-12 MG1655. From the scientific literature, EcoCyc captures the functions of individual E. coli gene products; their regulation at the transcriptional, post-transcriptional and protein level; and their organization into operons, complexes and pathways. EcoCyc users can search and browse the information in multiple ways. Recent improvements to the EcoCyc Web interface include combined gene/protein pages and a Regulation Summary Diagram displaying a graphical overview of all known regulatory inputs to gene expression and protein activity. The graphical representation of signal transduction pathways has been updated, and the cellular and regulatory overviews were enhanced with new functionality. A specialized undergraduate teaching resource using EcoCyc is being developed.


Nucleic Acids Research | 2009

EcoCyc: A comprehensive view of Escherichia coli biology

Ingrid M. Keseler; César Bonavides-Martínez; Julio Collado-Vides; Socorro Gama-Castro; Robert P. Gunsalus; D. Aaron Johnson; Markus Krummenacker; Laura M. Nolan; Suzanne M. Paley; Ian T. Paulsen; Martín Peralta-Gil; Alberto Santos-Zavaleta; Alexander Glennon Shearer; Peter D. Karp

EcoCyc (http://EcoCyc.org) provides a comprehensive encyclopedia of Escherichia coli biology. EcoCyc integrates information about the genome, genes and gene products; the metabolic network; and the regulatory network of E. coli. Recent EcoCyc developments include a new initiative to represent and curate all types of E. coli regulatory processes such as attenuation and regulation by small RNAs. EcoCyc has started to curate Gene Ontology (GO) terms for E. coli and has made a dataset of E. coli GO terms available through the GO Web site. The curation and visualization of electron transfer processes has been significantly improved. Other software and Web site enhancements include the addition of tracks to the EcoCyc genome browser, in particular a type of track designed for the display of ChIP-chip datasets, and the development of a comparative genome browser. A new Genome Omics Viewer enables users to paint omics datasets onto the full E. coli genome for analysis. A new advanced query page guides users in interactively constructing complex database queries against EcoCyc. A Macintosh version of EcoCyc is now available. A series of Webinars is available to instruct users in the use of EcoCyc.


Nucleic Acids Research | 2007

Multidimensional annotation of the Escherichia coli K-12 genome

Peter D. Karp; Ingrid M. Keseler; Alexander Glennon Shearer; Mario Latendresse; Markus Krummenacker; Suzanne M. Paley; Ian T. Paulsen; Julio Collado-Vides; Socorro Gama-Castro; Martín Peralta-Gil; Alberto Santos-Zavaleta; Mónica I Peñaloza-Spínola; César Bonavides-Martínez; John B Ingraham

The annotation of the Escherichia coli K-12 genome in the EcoCyc database is one of the most accurate, complete and multidimensional genome annotations. Of the 4460 E. coli genes, EcoCyc assigns biochemical functions to 76%, and 66% of all genes had their functions determined experimentally. EcoCyc assigns E. coli genes to Gene Ontology and to MultiFun. Seventy-five percent of gene products contain reviews authored by the EcoCyc project that summarize the experimental literature about the gene product. EcoCyc information was derived from 15 000 publications. The database contains extensive descriptions of E. coli cellular networks, describing its metabolic, transport and transcriptional regulatory processes. A comparison to genome annotations for other model organisms shows that the E. coli genome contains the most experimentally determined gene functions in both relative and absolute terms: 2941 (66%) for E. coli, 2319 (37%) for Saccharomyces cerevisiae, 1816 (5%) for Arabidopsis thaliana, 1456 (4%) for Mus musculus and 614 (4%) for Drosophila melanogaster. Database queries to EcoCyc survey the global properties of E. coli cellular networks and illuminate the extent of information gaps for E. coli, such as dead-end metabolites. EcoCyc provides a genome browser with novel properties, and a novel interactive display of transcriptional regulatory networks.


Database | 2016

Overview of the interactive task in BioCreative V

Qinghua Wang; Shabbir Syed Abdul; Lara Monteiro Almeida; Sophia Ananiadou; Yalbi Itzel Balderas-Martínez; Riza Theresa Batista-Navarro; David Campos; Lucy Chilton; Hui-Jou Chou; Gabriela Contreras; Laurel Cooper; Hong-Jie Dai; Barbra Ferrell; Juliane Fluck; Socorro Gama-Castro; Nancy George; Georgios V. Gkoutos; Afroza Khanam Irin; Lars Juhl Jensen; Silvia Jimenez; Toni Rose Jue; Ingrid M. Keseler; Sumit Madan; Sérgio Matos; Peter McQuilton; Marija Milacic; Matthew Mort; Jeyakumar Natarajan; Evangelos Pafilis; Emiliano Pereira

Fully automated text mining (TM) systems promote efficient literature searching, retrieval, and review but are not sufficient to produce ready-to-consume curated documents. These systems are not meant to replace biocurators, but instead to assist them in one or more literature curation steps. To do so, the user interface is an important aspect that needs to be considered for tool adoption. The BioCreative Interactive task (IAT) is a track designed for exploring user-system interactions, promoting development of useful TM tools, and providing a communication channel between the biocuration and the TM communities. In BioCreative V, the IAT track followed a format similar to previous interactive tracks, where the utility and usability of TM tools, as well as the generation of use cases, have been the focal points. The proposed curation tasks are user-centric and formally evaluated by biocurators. In BioCreative V IAT, seven TM systems and 43 biocurators participated. Two levels of user participation were offered to broaden curator involvement and obtain more feedback on usability aspects. The full level participation involved training on the system, curation of a set of documents with and without TM assistance, tracking of time-on-task, and completion of a user survey. The partial level participation was designed to focus on usability aspects of the interface and not the performance per se. In this case, biocurators navigated the system by performing pre-designed tasks and then were asked whether they were able to achieve the task and the level of difficulty in completing the task. In this manuscript, we describe the development of the interactive task, from planning to execution and discuss major findings for the systems tested. Database URL: http://www.biocreative.org


Nucleic Acids Research | 2017

The EcoCyc database: reflecting new knowledge about Escherichia coli K-12

Ingrid M. Keseler; Amanda Mackie; Alberto Santos-Zavaleta; Richard Billington; César Bonavides-Martínez; Ron Caspi; Carol A. Fulcher; Socorro Gama-Castro; Anamika Kothari; Markus Krummenacker; Mario Latendresse; Luis Muñiz-Rascado; Quang Ong; Suzanne M. Paley; Martín Peralta-Gil; Pallavi Subhraveti; David A. Velázquez-Ramírez; Daniel Weaver; Julio Collado-Vides; Ian T. Paulsen; Peter D. Karp

EcoCyc (EcoCyc.org) is a freely accessible, comprehensive database that collects and summarizes experimental data for Escherichia coli K-12, the best-studied bacterial model organism. New experimental discoveries about gene products, their function and regulation, new metabolic pathways, enzymes and cofactors are regularly added to EcoCyc. New SmartTable tools allow users to browse collections of related EcoCyc content. SmartTables can also serve as repositories for user- or curator-generated lists. EcoCyc now supports running and modifying E. coli metabolic models directly on the EcoCyc website.


EcoSal Plus | 2014

The EcoCyc Database.

Peter D. Karp; Daniel Weaver; Suzanne M. Paley; Carol A. Fulcher; Aya Kubo; Anamika Kothari; Markus Krummenacker; Pallavi Subhraveti; Deepika Weerasinghe; Socorro Gama-Castro; Araceli M. Huerta; Luis Muñiz-Rascado; César Bonavides-Martínez; Verena Weiss; Martín Peralta-Gil; Alberto Santos-Zavaleta; Imke Schröder; Amanda Mackie; Robert P. Gunsalus; Julio Collado-Vides; Ingrid M. Keseler; Ian T. Paulsen

EcoCyc is a bioinformatics database available at EcoCyc.org that describes the genome and the biochemical machinery of Escherichia coli K-12 MG1655. 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 facilitate a system-level understanding of E. coli. EcoCyc is an electronic reference source for E. coli biologists and for biologists who work with related microorganisms. The database includes information pages on each E. coli gene, metabolite, reaction, operon, and metabolic pathway. The database also includes information on E. coli gene essentiality and on nutrient conditions that do or do not support the growth of E. coli. The website and downloadable software contain tools for analysis of high-throughput data sets. In addition, a steady-state metabolic flux model is generated from each new version of EcoCyc. The model can predict metabolic flux rates, nutrient uptake rates, and growth rates for different gene knockouts and nutrient conditions. This review provides a detailed description of the data content of EcoCyc and of the procedures by which this content is generated.

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Socorro Gama-Castro

National Autonomous University of Mexico

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Julio Collado-Vides

National Autonomous University of Mexico

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Martín Peralta-Gil

National Autonomous University of Mexico

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Ian T. Paulsen

University of California

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