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Dive into the research topics where Donna Maglott is active.

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Featured researches published by Donna Maglott.


Nucleic Acids Research | 2004

Entrez Gene: gene-centered information at NCBI

Donna Maglott; James Ostell; Kim D. Pruitt; Tatiana Tatusova

Entrez Gene () is NCBIs database for gene-specific information. Entrez Gene includes records from genomes that have been completely sequenced, that have an active research community to contribute gene-specific information or that are scheduled for intense sequence analysis. The content of Entrez Gene represents the result of both curation and automated integration of data from NCBIs Reference Sequence project (RefSeq), from collaborating model organism databases and from other databases within NCBI. Records in Entrez Gene are assigned unique, stable and tracked integers as identifiers. The content (nomenclature, map location, gene products and their attributes, markers, phenotypes and links to citations, sequences, variation details, maps, expression, homologs, protein domains and external databases) is provided via interactive browsing through NCBIs Entrez system, via NCBIs Entrez programing utilities (E-Utilities), and for bulk transfer by ftp.


Nucleic Acids Research | 2012

NCBI Reference Sequences (RefSeq): current status, new features and genome annotation policy

Kim D. Pruitt; Tatiana Tatusova; Garth Brown; Donna Maglott

The National Center for Biotechnology Information (NCBI) Reference Sequence (RefSeq) database is a collection of genomic, transcript and protein sequence records. These records are selected and curated from public sequence archives and represent a significant reduction in redundancy compared to the volume of data archived by the International Nucleotide Sequence Database Collaboration. The database includes over 16 000 organisms, 2.4 × 106 genomic records, 13 × 106 proteins and 2 × 106 RNA records spanning prokaryotes, eukaryotes and viruses (RefSeq release 49, September 2011). The RefSeq database is maintained by a combined approach of automated analyses, collaboration and manual curation to generate an up-to-date representation of the sequence, its features, names and cross-links to related sources of information. We report here on recent growth, the status of curating the human RefSeq data set, more extensive feature annotation and current policy for eukaryotic genome annotation via the NCBI annotation pipeline. More information about the resource is available online (see http://www.ncbi.nlm.nih.gov/RefSeq/).


Nucleic Acids Research | 2014

ClinVar: public archive of relationships among sequence variation and human phenotype

Melissa J. Landrum; Jennifer M. Lee; George Riley; Wonhee Jang; Wendy S. Rubinstein; Deanna M. Church; Donna Maglott

ClinVar (http://www.ncbi.nlm.nih.gov/clinvar/) provides a freely available archive of reports of relationships among medically important variants and phenotypes. ClinVar accessions submissions reporting human variation, interpretations of the relationship of that variation to human health and the evidence supporting each interpretation. The database is tightly coupled with dbSNP and dbVar, which maintain information about the location of variation on human assemblies. ClinVar is also based on the phenotypic descriptions maintained in MedGen (http://www.ncbi.nlm.nih.gov/medgen). Each ClinVar record represents the submitter, the variation and the phenotype, i.e. the unit that is assigned an accession of the format SCV000000000.0. The submitter can update the submission at any time, in which case a new version is assigned. To facilitate evaluation of the medical importance of each variant, ClinVar aggregates submissions with the same variation/phenotype combination, adds value from other NCBI databases, assigns a distinct accession of the format RCV000000000.0 and reports if there are conflicting clinical interpretations. Data in ClinVar are available in multiple formats, including html, download as XML, VCF or tab-delimited subsets. Data from ClinVar are provided as annotation tracks on genomic RefSeqs and are used in tools such as Variation Reporter (http://www.ncbi.nlm.nih.gov/variation/tools/reporter), which reports what is known about variation based on user-supplied locations.


Nucleic Acids Research | 2009

NCBI Reference Sequences: current status, policy and new initiatives.

Kim D. Pruitt; Tatiana Tatusova; William Klimke; Donna Maglott

NCBIs Reference Sequence (RefSeq) database (http://www.ncbi.nlm.nih.gov/RefSeq/) is a curated non-redundant collection of sequences representing genomes, transcripts and proteins. RefSeq records integrate information from multiple sources and represent a current description of the sequence, the gene and sequence features. The database includes over 5300 organisms spanning prokaryotes, eukaryotes and viruses, with records for more than 5.5 × 106 proteins (RefSeq release 30). Feature annotation is applied by a combination of curation, collaboration, propagation from other sources and computation. We report here on the recent growth of the database, recent changes to feature annotations and record types for eukaryotic (primarily vertebrate) species and policies regarding species inclusion and genome annotation. In addition, we introduce RefSeqGene, a new initiative to support reporting variation data on a stable genomic coordinate system.


Nucleic Acids Research | 2016

ClinVar: public archive of interpretations of clinically relevant variants

Melissa J. Landrum; Jennifer M. Lee; Mark Benson; Garth Brown; Chen Chao; Shanmuga Chitipiralla; Baoshan Gu; Jennifer Hart; Douglas W. Hoffman; Jeffrey Hoover; Wonhee Jang; Kenneth S. Katz; Michael Ovetsky; George Riley; Amanjeev Sethi; Ray E. Tully; Ricardo Villamarín-Salomón; Wendy S. Rubinstein; Donna Maglott

ClinVar (https://www.ncbi.nlm.nih.gov/clinvar/) at the National Center for Biotechnology Information (NCBI) is a freely available archive for interpretations of clinical significance of variants for reported conditions. The database includes germline and somatic variants of any size, type or genomic location. Interpretations are submitted by clinical testing laboratories, research laboratories, locus-specific databases, OMIM®, GeneReviews™, UniProt, expert panels and practice guidelines. In NCBIs Variation submission portal, submitters upload batch submissions or use the Submission Wizard for single submissions. Each submitted interpretation is assigned an accession number prefixed with SCV. ClinVar staff review validation reports with data types such as HGVS (Human Genome Variation Society) expressions; however, clinical significance is reported directly from submitters. Interpretations are aggregated by variant-condition combination and assigned an accession number prefixed with RCV. Clinical significance is calculated for the aggregate record, indicating consensus or conflict in the submitted interpretations. ClinVar uses data standards, such as HGVS nomenclature for variants and MedGen identifiers for conditions. The data are available on the web as variant-specific views; the entire data set can be downloaded via ftp. Programmatic access for ClinVar records is available through NCBIs E-utilities. Future development includes providing a variant-centric XML archive and a web page for details of SCV submissions.


Nucleic Acids Research | 2014

RefSeq: an update on mammalian reference sequences

Kim D. Pruitt; Garth Brown; Susan M. Hiatt; Françoise Thibaud-Nissen; Alexander Astashyn; Olga Ermolaeva; Catherine M. Farrell; Jennifer Hart; Melissa J. Landrum; Kelly M. McGarvey; Michael R. Murphy; Nuala A. O’Leary; Shashikant Pujar; Bhanu Rajput; Sanjida H. Rangwala; Lillian D. Riddick; Andrei Shkeda; Hanzhen Sun; Pamela Tamez; Raymond E. Tully; Craig Wallin; David Webb; Janet Weber; Wendy Wu; Michael DiCuccio; Paul Kitts; Donna Maglott; Terence Murphy; James Ostell

The National Center for Biotechnology Information (NCBI) Reference Sequence (RefSeq) database is a collection of annotated genomic, transcript and protein sequence records derived from data in public sequence archives and from computation, curation and collaboration (http://www.ncbi.nlm.nih.gov/refseq/). We report here on growth of the mammalian and human subsets, changes to NCBI’s eukaryotic annotation pipeline and modifications affecting transcript and protein records. Recent changes to NCBI’s eukaryotic genome annotation pipeline provide higher throughput, and the addition of RNAseq data to the pipeline results in a significant expansion of the number of transcripts and novel exons annotated on mammalian RefSeq genomes. Recent annotation changes include reporting supporting evidence for transcript records, modification of exon feature annotation and the addition of a structured report of gene and sequence attributes of biological interest. We also describe a revised protein annotation policy for alternatively spliced transcripts with more divergent predicted proteins and we summarize the current status of the RefSeqGene project.


Nucleic Acids Research | 2016

Reference sequence (RefSeq) database at NCBI: current status, taxonomic expansion, and functional annotation

Nuala A. O'Leary; Mathew W. Wright; J. Rodney Brister; Stacy Ciufo; Diana Haddad; Richard McVeigh; Bhanu Rajput; Barbara Robbertse; Brian Smith-White; Danso Ako-adjei; Alexander Astashyn; Azat Badretdin; Yiming Bao; Olga Blinkova; Vyacheslav Brover; Vyacheslav Chetvernin; Jinna Choi; Eric Cox; Olga Ermolaeva; Catherine M. Farrell; Tamara Goldfarb; Tripti Gupta; Daniel H. Haft; Eneida Hatcher; Wratko Hlavina; Vinita Joardar; Vamsi K. Kodali; Wenjun Li; Donna Maglott; Patrick Masterson

The RefSeq project at the National Center for Biotechnology Information (NCBI) maintains and curates a publicly available database of annotated genomic, transcript, and protein sequence records (http://www.ncbi.nlm.nih.gov/refseq/). The RefSeq project leverages the data submitted to the International Nucleotide Sequence Database Collaboration (INSDC) against a combination of computation, manual curation, and collaboration to produce a standard set of stable, non-redundant reference sequences. The RefSeq project augments these reference sequences with current knowledge including publications, functional features and informative nomenclature. The database currently represents sequences from more than 55 000 organisms (>4800 viruses, >40 000 prokaryotes and >10 000 eukaryotes; RefSeq release 71), ranging from a single record to complete genomes. This paper summarizes the current status of the viral, prokaryotic, and eukaryotic branches of the RefSeq project, reports on improvements to data access and details efforts to further expand the taxonomic representation of the collection. We also highlight diverse functional curation initiatives that support multiple uses of RefSeq data including taxonomic validation, genome annotation, comparative genomics, and clinical testing. We summarize our approach to utilizing available RNA-Seq and other data types in our manual curation process for vertebrate, plant, and other species, and describe a new direction for prokaryotic genomes and protein name management.


Genome Research | 2009

The consensus coding sequence (CCDS) project: Identifying a common protein-coding gene set for the human and mouse genomes

Kim D. Pruitt; Jennifer Harrow; Rachel A. Harte; Craig Wallin; Mark Diekhans; Donna Maglott; Steve Searle; Catherine M. Farrell; Jane Loveland; Barbara J. Ruef; Elizabeth Hart; Marie-Marthe Suner; Melissa J. Landrum; Bronwen Aken; Sarah Ayling; Robert Baertsch; Julio Fernandez-Banet; Joshua L. Cherry; Val Curwen; Michael DiCuccio; Manolis Kellis; Jennifer M. Lee; Michael F. Lin; Michael Schuster; Andrew Shkeda; Clara Amid; Garth Brown; Oksana Dukhanina; Adam Frankish; Jennifer Hart

Effective use of the human and mouse genomes requires reliable identification of genes and their products. Although multiple public resources provide annotation, different methods are used that can result in similar but not identical representation of genes, transcripts, and proteins. The collaborative consensus coding sequence (CCDS) project tracks identical protein annotations on the reference mouse and human genomes with a stable identifier (CCDS ID), and ensures that they are consistently represented on the NCBI, Ensembl, and UCSC Genome Browsers. Importantly, the project coordinates on manually reviewing inconsistent protein annotations between sites, as well as annotations for which new evidence suggests a revision is needed, to progressively converge on a complete protein-coding set for the human and mouse reference genomes, while maintaining a high standard of reliability and biological accuracy. To date, the project has identified 20,159 human and 17,707 mouse consensus coding regions from 17,052 human and 16,893 mouse genes. Three evaluation methods indicate that the entries in the CCDS set are highly likely to represent real proteins, more so than annotations from contributing groups not included in CCDS. The CCDS database thus centralizes the function of identifying well-supported, identically-annotated, protein-coding regions.


PLOS Biology | 2009

Lineage-Specific Biology Revealed by a Finished Genome Assembly of the Mouse

Deanna M. Church; Leo Goodstadt; LaDeana W. Hillier; Michael C. Zody; Steve Goldstein; Xinwe She; Richa Agarwala; Joshua L. Cherry; Michael DiCuccio; Wratko Hlavina; Yuri Kapustin; Peter Meric; Donna Maglott; Zoë Birtle; Ana C. Marques; Tina Graves; Shiguo Zhou; Brian Teague; Konstantinos Potamousis; Chris Churas; Michael Place; Jill Herschleb; Ron Runnheim; Dan Forrest; James M. Amos-Landgraf; David C. Schwartz; Ze Cheng; Kerstin Lindblad-Toh; Evan E. Eichler; Chris P. Ponting

A finished clone-based assembly of the mouse genome reveals extensive recent sequence duplication during recent evolution and rodent-specific expansion of certain gene families. Newly assembled duplications contain protein-coding genes that are mostly involved in reproductive function.


The New England Journal of Medicine | 2015

ClinGen — The Clinical Genome Resource

Heidi L. Rehm; Jonathan S. Berg; Lisa D. Brooks; Carlos Bustamante; James P. Evans; Melissa J. Landrum; David H. Ledbetter; Donna Maglott; Christa Lese Martin; Robert L. Nussbaum; Sharon E. Plon; Erin M. Ramos; Stephen T. Sherry; Michael S. Watson

On autopsy, a patient is found to have hypertrophic cardiomyopathy. The patient’s family pursues genetic testing that shows a “likely pathogenic” variant for the condition on the basis of a study in an original research publication. Given the dominant inheritance of the condition and the risk of sudden cardiac death, other family members are tested for the genetic variant to determine their risk. Several family members test negative and are told that they are not at risk for hypertrophic cardiomyopathy and sudden cardiac death, and those who test positive are told that they need to be regularly monitored for cardiomyopathy on echocardiography. Five years later, during a routine clinic visit of one of the genotype-positive family members, the cardiologist queries a database for current knowledge on the genetic variant and discovers that the variant is now interpreted as “likely benign” by another laboratory that uses more recently derived population-frequency data. A newly available testing panel for additional genes that are implicated in hypertrophic cardiomyopathy is initiated on an affected family member, and a different variant is found that is determined to be pathogenic. Family members are retested, and one member who previously tested negative is now found to be positive for this new variant. An immediate clinical workup detects evidence of cardiomyopathy, and an intracardiac defibrillator is implanted to reduce the risk of sudden cardiac death.

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Kim D. Pruitt

National Institutes of Health

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Tatiana Tatusova

National Institutes of Health

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Terence Murphy

National Institutes of Health

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Garth Brown

National Institutes of Health

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Craig Wallin

National Institutes of Health

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Mike Murphy

National Institutes of Health

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Wendy S. Rubinstein

National Institutes of Health

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Melissa J. Landrum

National Institutes of Health

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Deanna M. Church

National Institutes of Health

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Jennifer M. Lee

National Institutes of Health

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