Antonia Lock

Dr. Antonia Lock

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 March 2023 in Genetics
Verified
Journal Article
Open access
PDF file
TCThe Gene Ontology Consortium
The Gene Ontology Consortium
SASuzi A Aleksander
Suzi A Aleksander
JBJames Balhoff
James Balhoff
SCSeth Carbon
Seth Carbon
JCJ Michael Cherry
J Michael Cherry
MWMonte Westerfield
Monte Westerfield
The Gene Ontology (GO) knowledgebase (http://geneontology.org) is a comprehensive resource concerning the functions of genes and gene products (proteins and noncoding RNAs). GO annotations cover genes from organisms across the tree of life as well as viruses, though most gene function knowledge currently derives from experiments carried out in a relatively small number of model organisms. Here, we provide an updated overview of the GO knowledgebase, as well as the efforts of the broad, international consortium of scientists that develops, maintains, and updates the GO knowledgebase. The GO knowledgebase consists of three components: (1) the GO—a computational knowledge structure describing the functional characteristics of genes; (2) GO annotations—evidence-supported statements asserting that a specific gene product has a particular functional characteristic; and (3) GO Causal Activity Models (GO-CAMs)—mechanistic models of molecular “pathways” (GO biological processes) created by linking multiple GO annotations using defined relations. Each of these components is continually expanded, revised, and updated in response to newly published discoveries and receives extensive QA checks, reviews, and user feedback. For each of these components, we provide a description of the current contents, recent developments to keep the knowledgebase up to date with new discoveries, and guidance on how users can best make use of the data that we provide. We conclude with future directions for the project.

28 October 2011 in Nucleic Acids Research
Verified
Journal Article
Open access
PDF file
VWValerie Wood
Valerie Wood
MHMidori A. Harris
Midori A. Harris
MMMark D. McDowall
Mark D. McDowall
KRKim Rutherford
Kim Rutherford
BVBrendan W. Vaughan
Brendan W. Vaughan
SOStephen Oliver
Stephen Oliver
PomBase (www.pombase.org) is a new model organism database established to provide access to comprehensive, accurate, and up-to-date molecular data and biological information for the fission yeast Schizosaccharomyces pombe to effectively support both exploratory and hypothesis-driven research. PomBase encompasses annotation of genomic sequence and features, comprehensive manual literature curation and genome-wide data sets, and supports sophisticated user-defined queries. The implementation of PomBase integrates a Chado relational database that houses manually curated data with Ensembl software that supports sequence-based annotation and web access. PomBase will provide user-friendly tools to promote curation by experts within the fission yeast community. This will make a key contribution to shaping its content and ensuring its comprehensiveness and long-term relevance.

13 October 2018 in Nucleic Acids Research
Verified
Journal Article
Open access
PDF file
ALAntonia Lock
Antonia Lock
KRKim Rutherford
Kim Rutherford
MHMidori A Harris
Midori A Harris
JHJacqueline Hayles
Jacqueline Hayles
SOStephen G Oliver
Stephen G Oliver
VWValerie Wood
Valerie Wood
PomBase (www.pombase.org), the model organism database for the fission yeast Schizosaccharomyces pombe, has undergone a complete redevelopment, resulting in a more fully integrated, better-performing service. The new infrastructure supports daily data updates as well as fast, efficient querying and smoother navigation within and between pages. New pages for publications and genotypes provide routes to all data curated from a single source and to all phenotypes associated with a specific genotype, respectively. For ontology-based annotations, improved displays balance comprehensive data coverage with ease of use. The default view now uses ontology structure to provide a concise, non-redundant summary that can be expanded to reveal underlying details and metadata. The phenotype annotation display also offers filtering options to allow users to focus on specific areas of interest. An instance of the JBrowse genome browser has been integrated, facilitating loading of and intuitive access to, genome-scale datasets. Taken together, the new data and pages, along with improvements in annotation display and querying, allow users to probe connections among different types of data to form a comprehensive view of fission yeast biology. The new PomBase implementation also provides a rich set of modular, reusable tools that can be deployed to create new, or enhance existing, organism-specific databases.

31 October 2014 in Nucleic Acids Research
Verified
Journal Article
Open access
PDF file
MMMark D. McDowall
Mark D. McDowall
MHMidori A. Harris
Midori A. Harris
ALAntonia Lock
Antonia Lock
KRKim Rutherford
Kim Rutherford
DSDaniel M. Staines
Daniel M. Staines
VWValerie Wood
Valerie Wood
PomBase (http://www.pombase.org) is the model organism database for the fission yeast Schizosaccharomyces pombe. PomBase provides a central hub for the fission yeast community, supporting both exploratory and hypothesis-driven research. It provides users easy access to data ranging from the sequence level, to molecular and phenotypic annotations, through to the display of genome-wide high-throughput studies. Recent improvements to the site extend annotation specificity, improve usability and allow for monthly data updates. Both in-house curators and community researchers provide manually curated data to PomBase. The genome browser provides access to published high-throughput data sets and the genomes of three additional Schizosaccharomyces species (Schizosaccharomyces cryophilus, Schizosaccharomyces japonicus and Schizosaccharomyces octosporus).

20 February 2019 in Open Biology
Verified
Journal Article
Open access
VWValerie Wood
Valerie Wood
ALAntonia Lock
Antonia Lock
MHMidori A. Harris
Midori A. Harris
KRKim Rutherford
Kim Rutherford
Jurg BahlerJurg Bahler
Jurg Bahler
SOStephen Oliver
Stephen Oliver
The first decade of genome sequencing stimulated an explosion in the characterization of unknown proteins. More recently, the pace of functional discovery has slowed, leaving around 20% of the proteins even in well-studied model organisms without informative descriptions of their biological roles. Remarkably, many uncharacterized proteins are conserved from yeasts to human, suggesting that they contribute to fundamental biological processes (BP). To fully understand biological systems in health and disease, we need to account for every part of the system. Unstudied proteins thus represent a collective blind spot that limits the progress of both basic and applied biosciences. We use a simple yet powerful metric based on Gene Ontology BP terms to define characterized and uncharacterized proteins for human, budding yeast and fission yeast. We then identify a set of conserved but unstudied proteins in S. pombe , and classify them based on a combination of orthogonal attributes determined by large-scale experimental and comparative methods. Finally, we explore possible reasons why these proteins remain neglected, and propose courses of action to raise their profile and thereby reap the benefits of completing the catalogue of proteins’ biological roles.

23 December 2021 in Genetics
Verified
Journal Article
Open access
PDF file
MHMidori A Harris
Midori A Harris
KRKim M Rutherford
Kim M Rutherford
JHJacqueline Hayles
Jacqueline Hayles
ALAntonia Lock
Antonia Lock
Jurg BahlerJurg Bahler
Jurg Bahler
VWValerie Wood
Valerie Wood
PomBase (www.pombase.org), the model organism database (MOD) for the fission yeast Schizosaccharomyces pombe, supports research within and beyond the S. pombe community by integrating and presenting genetic, molecular, and cell biological knowledge into intuitive displays and comprehensive data collections. With new content, novel query capabilities, and biologist-friendly data summaries and visualization, PomBase also drives innovation in the MOD community.