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Dive into the research topics where Monica Riley is active.

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Featured researches published by Monica Riley.


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 | 2002

The EcoCyc Database

Peter D. Karp; Monica Riley; Milton H. Saier; Ian T. Paulsen; Julio Collado-Vides; Suzanne M. Paley; Alida Pellegrini-Toole; César Bonavides; Socorro Gama-Castro

EcoCyc is an organism-specific pathway/genome database that describes the metabolic and signal-transduction pathways of Escherichia coli, its enzymes, its transport proteins and its mechanisms of transcriptional control of gene expression. EcoCyc is queried using the Pathway Tools graphical user interface, which provides a wide variety of query operations and visualization tools. EcoCyc is available at http://ecocyc.org/.


Nucleic Acids Research | 2000

The EcoCyc and MetaCyc databases

Peter D. Karp; Monica Riley; Milton H. Saier; Ian T. Paulsen; Suzanne M. Paley; Alida Pellegrini-Toole

EcoCyc is an organism-specific Pathway/Genome Database that describes the metabolic and signal-transduction pathways of Escherichia coli, its enzymes, and-a new addition-its transport proteins. MetaCyc is a new metabolic-pathway database that describes pathways and enzymes of many different organisms, with a microbial focus. Both databases are queried using the Pathway Tools graphical user interface, which provides a wide variety of query operations and visualization tools. EcoCyc and MetaCyc are available at http://ecocyc.PangeaSystems.com/ecocyc/


Nucleic Acids Research | 1996

EcoCyc: Encyclopedia of Escherichia coli genes and metabolism.

Peter D. Karp; Monica Riley; Suzanne M. Paley; Alida Pellegrini-Toole; Markus Krummenacker

The encyclopedia of Escherichia coli genes and metabolism (EcoCyc) is a database that combines information about the genome and the intermediary metabolism of E.coli. It describes 2034 genes, 306 enzymes encoded by these genes, 580 metabolic reactions that occur in E.coli and the organization of these reactions into 100 metabolic pathways. The EcoCyc graphical user interface allows query and exploration of the EcoCyc database using visualization tools such as genomic map browsers and automatic layouts of metabolic pathways. EcoCyc spans the space from sequence to function to allow investigation of an unusually broad range of questions. EcoCyc can be thought of as both an electronic review article, because of its copious references to the primary literature, and as an in silico model of E.coli that can be probed and analyzed through computational means.


Genome Biology | 2001

A functional update of the Escherichia coli K-12 genome.

Margrethe H. Serres; Shuba Gopal; Laila Alves Nahum; Ping Liang; Terry Gaasterland; Monica Riley

BackgroundSince the genome of Escherichia coli K-12 was initially annotated in 1997, additional functional information based on biological characterization and functions of sequence-similar proteins has become available. On the basis of this new information, an updated version of the annotated chromosome has been generated.ResultsThe E. coli K-12 chromosome is currently represented by 4,401 genes encoding 116 RNAs and 4,285 proteins. The boundaries of the genes identified in the GenBank Accession U00096 were used. Some protein-coding sequences are compound and encode multimodular proteins. The coding sequences (CDSs) are represented by modules (protein elements of at least 100 amino acids with biological activity and independent evolutionary history). There are 4,616 identified modules in the 4,285 proteins. Of these, 48.9% have been characterized, 29.5% have an imputed function, 2.1% have a phenotype and 19.5% have no function assignment. Only 7% of the modules appear unique to E. coli, and this number is expected to be reduced as more genome data becomes available. The imputed functions were assigned on the basis of manual evaluation of functions predicted by BLAST and DARWIN analyses and by the MAGPIE genome annotation system.ConclusionsMuch knowledge has been gained about functions encoded by the E. coli K-12 genome since the 1997 annotation was published. The data presented here should be useful for analysis of E. coli gene products as well as gene products encoded by other genomes.


Nucleic Acids Research | 2004

GenProtEC: an updated and improved analysis of functions of Escherichia coli K-12 proteins

Margrethe H. Serres; Sulip Goswami; Monica Riley

Using more than one approach to characterizing functions of unknown proteins, we now present in GenProtEC (http://genprotec.mbl.edu/) some level of function information for 87% of Escherichia coli K-12 proteins. A new approach that has yielded new information entails assigning content of structural domains and their functions to E.coli proteins. In addition, some earlier methods have been further refined to provide more meaningful data. The process of identifying and separating multimodular or fused proteins into component modules has been improved. As a result, groups of sequence-similar (paralogous) proteins have been refined. Experimental information from recent literature on previously unknown genes has been incorporated. We now use a rich system of characterizing cell roles which accents the fact that many proteins play more than one cellular role and therefore carry more than one designation from our detailed catalog of roles, MultiFun.


Journal of Bacteriology | 2006

Genomic Analysis of Carbon Source Metabolism of Shewanella oneidensis MR-1: Predictions versus Experiments

Margrethe H. Serres; Monica Riley

Genomic sequences have been used to find the genetic foundation for carbon source metabolism in Shewanella oneidensis MR-1. Annotated S. oneidensis MR-1 gene products were examined for their sequence similarity to enzymes participating in pathways for utilization of carbon and energy as described in the BioCyc database (http://www.biocyc.org/) or in the primary literature. A picture emerges that relegates five- and six-carbon sugars to minor roles as carbon sources, whereas multiple pathways for utilization of up to three-carbon carbohydrates seem to be present. Capacity to utilize amino acids for carbon and energy is also present. A few contradictions emerged in which enzymes appear to be present by annotations but are not active in the cell according to physiological experiments. Annotations are based on close sequence similarity and will not reveal inactivity due to deleterious mutations or due to lack of coordination of regulation and transport. Genes for a few enzymes known by experiment to be active are not found in the genome. This may be due to extensive divergence after duplication or convergence of function in separate lines in evolution rendering activities undetectable by sequence similarity. To minimize false predictions from protein sequences, we have been conservative in predicting pathways. We did not predict any pathway when, although a partial pathway was seen it was composed largely of enzymes already accounted for in any other complete pathway. This is an example of how a biochemically oriented sequence analysis can generate questions and direct further experimental investigation.


Current Opinion in Structural Biology | 1998

Systems for categorizing functions of gene products

Monica Riley

As the sequencing of the total DNA of many organisms continues, attention is turning next to the interpretation of the function of all of the genes and gene products, with the aim of learning the full meaning of the entire genetic blueprint of a sequenced organism in concrete terms. To set the stage for accomplishing this, systems need to be constructed for the expression of the functions of gene products in systematic yet rich ways. As much as possible, the same systems should be applicable to all organisms, so that when comparability exists among organisms the connections will become clear.


Nucleic Acids Research | 1998

Genes and proteins of Escherichia coli K-12.

Monica Riley

GenProtEC is a database of Escherichia coli genes and their gene products, classified by type of function and physiological role and with citations to the literature for each. Also present are data on sequence similarities among E.coli proteins, representing groups of paralogous genes, with PAM values, percent identity of amino acids, length of alignment and percent aligned. GenProtEC can be accessed at the URL http://www.mbl.edu/html/ecoli.html


Nucleic Acids Research | 1996

Genes and Proteins of Escherichia coli K-12 (GenProtEC)

Monica Riley

GenProtEc is a database of Escherichia coli genes and their gene products, classified by type of function and physiological role and with citations to the literature for each. Also present are data on sequence similarities among E.coli proteins with PAM values, percent identity of amino acids, length of alignment and percent aligned. The database is available as a PKZip file by ftp from mbl.edu/pub/ecoli.exe. The program runs under MS-DOS on IMB-compatible machines. GenProtEc can also be accessed through the World Wide Web at URL http://mbl.edu/html/ecoli.html.

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Margrethe H. Serres

Marine Biological Laboratory

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Miriam Land

Oak Ridge National Laboratory

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Frederick R. Blattner

University of Wisconsin-Madison

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Guy Plunkett

University of Wisconsin-Madison

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Jeremy D. Glasner

University of Wisconsin-Madison

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Laila Alves Nahum

Marine Biological Laboratory

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