O'Donovan C


Full name : O'Donovan Claire

First name : Claire

Mail : European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, Cb10 1SD

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Country : United Kingdom

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References (5)

Title : The Enzyme Portal: an integrative tool for enzyme information and analysis - Zaru_2021_FEBS.J__
Author(s) : Zaru R , Onwubiko J , Ribeiro AJM , Cochrane K , Tyzack JD , Muthukrishnan V , Pravda L , Thornton JM , O'Donovan C , Velanker S , Orchard S , Leach A , Martin MJ
Ref : Febs J , : , 2021
Abstract : Enzymes play essential roles in all life processes and are used extensively in the biomedical and biotechnological fields. However, enzyme-related information is spread across multiple resources making its retrieval time-consuming. In response to this challenge, the Enzyme Portal has been established to facilitate enzyme research, by providing a freely available hub where researchers can easily find and explore enzyme-related information. It integrates relevant enzyme data for a wide range of species from various resources such as UniProtKB, PDB and ChEMBL. Here, we describe what type of enzyme-related data the Enzyme Portal provides, how the information is organised and, by show-casing two potential use cases, how to access and retrieve it.
ESTHER : Zaru_2021_FEBS.J__
PubMedSearch : Zaru_2021_FEBS.J__
PubMedID: 34437766

Title : Minimizing proteome redundancy in the UniProt Knowledgebase - Bursteinas_2016_Database.(Oxford)_2016_
Author(s) : Bursteinas B , Britto R , Bely B , Auchincloss A , Rivoire C , Redaschi N , O'Donovan C , Martin MJ
Ref : Database (Oxford) , 2016 : , 2016
Abstract : Advances in high-throughput sequencing have led to an unprecedented growth in genome sequences being submitted to biological databases. In particular, the sequencing of large numbers of nearly identical bacterial genomes during infection outbreaks and for other large-scale studies has resulted in a high level of redundancy in nucleotide databases and consequently in the UniProt Knowledgebase (UniProtKB). Redundancy negatively impacts on database searches by causing slower searches, an increase in statistical bias and cumbersome result analysis. The redundancy combined with the large data volume increases the computational costs for most reuses of UniProtKB data. All of this poses challenges for effective discovery in this wealth of data. With the continuing development of sequencing technologies, it is clear that finding ways to minimize redundancy is crucial to maintaining UniProt's essential contribution to data interpretation by our users. We have developed a methodology to identify and remove highly redundant proteomes from UniProtKB. The procedure identifies redundant proteomes by performing pairwise alignments of sets of sequences for pairs of proteomes and subsequently, applies graph theory to find dominating sets that provide a set of non-redundant proteomes with a minimal loss of information. This method was implemented for bacteria in mid-2015, resulting in a removal of 50 million proteins in UniProtKB. With every new release, this procedure is used to filter new incoming proteomes, resulting in a more scalable and scientifically valuable growth of UniProtKB.Database URL: http://www.uniprot.org/proteomes/.
ESTHER : Bursteinas_2016_Database.(Oxford)_2016_
PubMedSearch : Bursteinas_2016_Database.(Oxford)_2016_
PubMedID: 28025334

Title : Creating a specialist protein resource network: a meeting report for the protein bioinformatics and community resources retreat - Babbitt_2015_Database.(Oxford)_2015_bav063
Author(s) : Babbitt PC , Bagos PG , Bairoch A , Bateman A , Chatonnet A , Chen MJ , Craik DJ , Finn RD , Gloriam D , Haft DH , Henrissat B , Holliday GL , Isberg V , Kaas Q , Landsman D , Lenfant N , Manning G , Nagano N , Srinivasan N , O'Donovan C , Pruitt KD , Sowdhamini R , Rawlings ND , Saier MH, Jr. , Sharman JL , Spedding M , Tsirigos KD , Vastermark A , Vriend G
Ref : Database (Oxford) , 2015 :bav063 , 2015
Abstract : During 11-12 August 2014, a Protein Bioinformatics and Community Resources Retreat was held at the Wellcome Trust Genome Campus in Hinxton, UK. This meeting brought together the principal investigators of several specialized protein resources (such as CAZy, TCDB and MEROPS) as well as those from protein databases from the large Bioinformatics centres (including UniProt and RefSeq). The retreat was divided into five sessions: (1) key challenges, (2) the databases represented, (3) best practices for maintenance and curation, (4) information flow to and from large data centers and (5) communication and funding. An important outcome of this meeting was the creation of a Specialist Protein Resource Network that we believe will improve coordination of the activities of its member resources. We invite further protein database resources to join the network and continue the dialogue.
ESTHER : Babbitt_2015_Database.(Oxford)_2015_bav063
PubMedSearch : Babbitt_2015_Database.(Oxford)_2015_bav063
PubMedID: 26284514

Title : Key challenges for the creation and maintenance of specialist protein resources - Holliday_2015_Proteins_83_1005
Author(s) : Holliday GL , Bairoch A , Bagos PG , Chatonnet A , Craik DJ , Finn RD , Henrissat B , Landsman D , Manning G , Nagano N , O'Donovan C , Pruitt KD , Rawlings ND , Saier MH, Jr. , Sowdhamini R , Spedding M , Srinivasan N , Vriend G , Babbitt PC , Bateman A
Ref : Proteins , 83 :1005 , 2015
Abstract : As the volume of data relating to proteins increases, researchers rely more and more on the analysis of published data, thus increasing the importance of good access to these data that vary from the supplemental material of individual articles, all the way to major reference databases with professional staff and long-term funding. Specialist protein resources fill an important middle ground, providing interactive web interfaces to their databases for a focused topic or family of proteins, using specialized approaches that are not feasible in the major reference databases. Many are labors of love, run by a single lab with little or no dedicated funding and there are many challenges to building and maintaining them. This perspective arose from a meeting of several specialist protein resources and major reference databases held at the Wellcome Trust Genome Campus (Cambridge, UK) on August 11 and 12, 2014. During this meeting some common key challenges involved in creating and maintaining such resources were discussed, along with various approaches to address them. In laying out these challenges, we aim to inform users about how these issues impact our resources and illustrate ways in which our working together could enhance their accuracy, currency, and overall value. Proteins 2015; 83:1005-1013. (c) 2015 The Authors. Proteins: Structure, Function, and Bioinformatics Published by Wiley Periodicals, Inc.
ESTHER : Holliday_2015_Proteins_83_1005
PubMedSearch : Holliday_2015_Proteins_83_1005
PubMedID: 25820941

Title : Curated genome annotation of Oryza sativa ssp. japonica and comparative genome analysis with Arabidopsis thaliana - Itoh_2007_Genome.Res_17_175
Author(s) : Itoh T , Tanaka T , Barrero RA , Yamasaki C , Fujii Y , Hilton PB , Antonio BA , Aono H , Apweiler R , Bruskiewich R , Bureau T , Burr F , Costa de Oliveira A , Fuks G , Habara T , Haberer G , Han B , Harada E , Hiraki AT , Hirochika H , Hoen D , Hokari H , Hosokawa S , Hsing YI , Ikawa H , Ikeo K , Imanishi T , Ito Y , Jaiswal P , Kanno M , Kawahara Y , Kawamura T , Kawashima H , Khurana JP , Kikuchi S , Komatsu S , Koyanagi KO , Kubooka H , Lieberherr D , Lin YC , Lonsdale D , Matsumoto T , Matsuya A , McCombie WR , Messing J , Miyao A , Mulder N , Nagamura Y , Nam J , Namiki N , Numa H , Nurimoto S , O'Donovan C , Ohyanagi H , Okido T , Oota S , Osato N , Palmer LE , Quetier F , Raghuvanshi S , Saichi N , Sakai H , Sakai Y , Sakata K , Sakurai T , Sato F , Sato Y , Schoof H , Seki M , Shibata M , Shimizu Y , Shinozaki K , Shinso Y , Singh NK , Smith-White B , Takeda J , Tanino M , Tatusova T , Thongjuea S , Todokoro F , Tsugane M , Tyagi AK , Vanavichit A , Wang A , Wing RA , Yamaguchi K , Yamamoto M , Yamamoto N , Yu Y , Zhang H , Zhao Q , Higo K , Burr B , Gojobori T , Sasaki T
Ref : Genome Res , 17 :175 , 2007
Abstract : We present here the annotation of the complete genome of rice Oryza sativa L. ssp. japonica cultivar Nipponbare. All functional annotations for proteins and non-protein-coding RNA (npRNA) candidates were manually curated. Functions were identified or inferred in 19,969 (70%) of the proteins, and 131 possible npRNAs (including 58 antisense transcripts) were found. Almost 5000 annotated protein-coding genes were found to be disrupted in insertional mutant lines, which will accelerate future experimental validation of the annotations. The rice loci were determined by using cDNA sequences obtained from rice and other representative cereals. Our conservative estimate based on these loci and an extrapolation suggested that the gene number of rice is approximately 32,000, which is smaller than previous estimates. We conducted comparative analyses between rice and Arabidopsis thaliana and found that both genomes possessed several lineage-specific genes, which might account for the observed differences between these species, while they had similar sets of predicted functional domains among the protein sequences. A system to control translational efficiency seems to be conserved across large evolutionary distances. Moreover, the evolutionary process of protein-coding genes was examined. Our results suggest that natural selection may have played a role for duplicated genes in both species, so that duplication was suppressed or favored in a manner that depended on the function of a gene.
ESTHER : Itoh_2007_Genome.Res_17_175
PubMedSearch : Itoh_2007_Genome.Res_17_175
PubMedID: 17210932
Gene_locus related to this paper: orysa-Q7XTC5 , orysa-Q852M6 , orysa-Q8GSE8 , orysa-Q9FYP7 , orysa-Q5ZA26 , orysa-Q5JLP6 , orysa-Q8H5P5 , orysa-Q7F1Y5 , orysa-cbp3 , orysa-cbpx , orysa-Q6YSZ8 , orysa-Q9FW17 , orysa-Q84QZ6 , orysa-Q0JK71 , orysa-B9EWJ8 , orysa-Q6ZDG6 , orysa-Q6ZDG5 , orysa-Q658B2 , orysa-Q5N7L1 , orysa-Q8RYV9 , orysa-Q8H3R3 , orysa-Q5SNH3 , orysa-pir7a , orysa-q2qnj4 , orysa-q2qyj1 , orysa-q2r077 , orysa-Q4VWY7 , orysa-q5smv5 , orysa-q5z901 , orysa-Q5ZBI5 , orysa-q6atz0 , orysa-q6i5q3 , orysa-q6j657 , orysa-q6k4q2 , orysj-q6yse8 , orysa-q6yy42 , orysa-q6yzk1 , orysa-q6z8b1 , orysa-q6z995 , orysa-q6zjq6 , orysa-q7x7y5 , orysa-Q7XC50 , orysa-q7xr62 , orysa-q7xr63 , orysa-q7xsg1 , orysa-q7xsq2 , orysa-q7xts6 , orysa-q7xv53 , orysa-Q8LQS5 , orysa-Q8RZ79 , orysa-Q8S0U8 , orysa-Q8W3C6 , orysa-Q9LHX5 , orysa-q53m20 , orysa-q53nd8 , orysa-q60e79 , orysa-q67iz2 , orysa-q67iz3 , orysa-q67iz7 , orysa-q67iz8 , orysa-q67j02 , orysa-q67j05 , orysa-q67j09 , orysa-q67j10 , orysa-q67tr6 , orysa-q67tv0 , orysa-q69j38 , orysa-q69y21 , orysa-q75hy1 , orysa-q75hy2 , orysa-Q0J0A4 , orysa-q651a8 , orysa-q652g4 , orysa-q688m8 , orysa-Q6H8G1 , orysi-a2z179 , orysi-a2zef2 , orysi-b8a7e6 , orysi-b8a7e7 , orysi-b8bfe5 , orysi-b8bhp9 , orysj-b9fi05 , orysj-q0djj0 , orysj-q0jaf0 , orysj-q0jga1 , orysj-q0jhi5 , orysj-q5jl22 , orysj-q5jlw7 , orysj-q6h7q9 , orysj-q6yvk6 , orysj-q7f8x1 , orysj-q7xcx3 , orysj-q9fwm6 , orysj-q10j20 , orysj-q10ss2 , orysj-q69uw6 , orysj-q94d71 , orysj-q0iq98 , orysj-b9gbs4 , orysj-b9gbs1