Emily Perry

ORCID: 0000-0003-0776-4428
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About
Contact & Profiles
Research Areas
  • Genomics and Phylogenetic Studies
  • Genomics and Rare Diseases
  • Bioinformatics and Genomic Networks
  • RNA modifications and cancer
  • Molecular Biology Techniques and Applications
  • Genomics and Chromatin Dynamics
  • RNA and protein synthesis mechanisms
  • Epigenetics and DNA Methylation
  • Gene expression and cancer classification
  • Biomedical Text Mining and Ontologies
  • Genetic Associations and Epidemiology
  • Machine Learning in Bioinformatics
  • Plant Virus Research Studies
  • BRCA gene mutations in cancer
  • Ethics in Clinical Research
  • Genetics, Bioinformatics, and Biomedical Research
  • Cancer-related gene regulation
  • Plant Pathogens and Resistance
  • Chromosomal and Genetic Variations
  • Genetic Mapping and Diversity in Plants and Animals
  • Identification and Quantification in Food
  • Animal Genetics and Reproduction
  • Plant Disease Resistance and Genetics
  • Environmental DNA in Biodiversity Studies
  • Microbial Community Ecology and Physiology

European Bioinformatics Institute
2014-2022

Jackson Laboratory
2021

Wellcome Trust
2014-2017

The Ensembl project has been aggregating, processing, integrating and redistributing genomic datasets since the initial releases of draft human genome, with aim accelerating genomics research through rapid open distribution public data. Large amounts raw data are thus transformed into knowledge, which is made available via a multitude channels, in particular our browser (http://www.ensembl.org). Over time, we have expanded multiple directions. First, resources describe fields genomics, gene...

10.1093/nar/gkx1098 article EN cc-by Nucleic Acids Research 2017-10-21
Fiona Cunningham James E. Allen Jamie Allen Jorge Álvarez-Jarreta M Ridwan Amode and 90 more Irina M. Armean Olanrewaju Austine-Orimoloye Andrey G Azov If Barnes Ruth Bennett Andrew Berry Jyothish Bhai Alexandra Bignell Konstantinos Billis Sanjay Boddu Lucy Brooks Mehrnaz Charkhchi Carla Cummins Luca Da Rin Fioretto Claire Davidson Kamalkumar Dodiya Sarah Donaldson Bilal El Houdaigui Tamara El Naboulsi Reham Fatima Carlos García Girón Thiago A. L. Genez José M. González Cristina Guijarro-Clarke Arthur W. Gymer Matthew P. Hardy Zoe Hollis Thibaut Hourlier Toby Hunt Thomas Juettemann Vinay Kaikala Mike Kay Ilias Lavidas Lê Tuấn Anh Diana Lemos José Carlos Marugán Shamika Mohanan Aleena Mushtaq Marc Naven Denye Ogeh Anne Parker Andrew Parton Malcolm Perry Ivana Piližota Irina Prosovetskaia Manoj Pandian Sakthivel Ahamed Imran Abdul Salam Bianca M. Schmitt Helen Schuilenburg Dan Sheppard José G Pérez-Silva William Stark Emily Steed Kyösti Sutinen Ranjit Sukumaran Dulika Sumathipala Marie‐Marthe Suner Michał Szpak Anja Thormann Francesca Floriana Tricomi David Urbina-Gómez Andres Veidenberg Thomas Walsh Brandon Walts Natalie L Willhoft Andrea Winterbottom Elizabeth Wass Marc Chakiachvili Bethany Flint Adam Frankish Stefano Giorgetti Leanne Haggerty Sarah Hunt Garth R IIsley Jane Loveland Fergal J. Martin Benjamin Moore Jonathan M. Mudge Matthieu Muffato Emily Perry Magali Ruffier John Tate David Thybert Stephen J. Trevanion Sarah Dyer Peter W. Harrison Kevin Howe Andrew Yates Daniel R. Zerbino Paul Flicek

Ensembl (https://www.ensembl.org) is unique in its flexible infrastructure for access to genomic data and annotation. It has been designed efficiently deliver annotation at scale all eukaryotic life, it also provides deep comprehensive key species. Genomes representing a greater diversity of species are increasingly being sequenced. In response, we have focussed our recent efforts on expediting the new assemblies. Here, report release greatest annual number newly annotated genomes history...

10.1093/nar/gkab1049 article EN cc-by Nucleic Acids Research 2021-10-19

Abstract The Ensembl project (https://www.ensembl.org) annotates genomes and disseminates genomic data for vertebrate species. We create detailed comprehensive annotation of gene structures, regulatory elements variants, enable comparative genomics by inferring the evolutionary history genes genomes. Our integrated are made available in a variety ways, including genome browsers, search interfaces, specialist tools such as Variant Effect Predictor, download files programmatic interfaces....

10.1093/nar/gkaa942 article EN cc-by Nucleic Acids Research 2020-10-07

The Ensembl project (http://www.ensembl.org) is a system for genome annotation, analysis, storage and dissemination designed to facilitate the access of genomic annotation from chordates key model organisms. It provides data 87 species across our main early Pre! websites. This year we introduced three newly annotated released numerous updates supported with concentration on latest assemblies human, mouse, zebrafish rat. We also provided two previous human assembly, GRCh37, through dedicated...

10.1093/nar/gkv1157 article EN cc-by Nucleic Acids Research 2015-12-19

Ensembl (http://www.ensembl.org) is a genomic interpretation system providing the most up-to-date annotations, querying tools and access methods for chordates key model organisms. This year we released updated annotation (gene models, comparative genomics, regulatory regions variation) on new human assembly, GRCh38, although continue to support researchers using GRCh37.p13 assembly through dedicated site (http://grch37.ensembl.org). Our Regulatory Build has been revamped identify of interest...

10.1093/nar/gku1010 article EN cc-by Nucleic Acids Research 2014-10-28

The Ensembl (https://www.ensembl.org) is a system for generating and distributing genome annotation such as genes, variation, regulation comparative genomics across the vertebrate subphylum key model organisms. pipeline capable of integrating experimental reference data from multiple providers into single integrated resource. Here, we present 94 newly annotated re-annotated genomes, bringing total number genomes offered by to 227. This represents largest expansion resource since its...

10.1093/nar/gkz966 article EN cc-by Nucleic Acids Research 2019-10-11

The Ensembl project (https://www.ensembl.org) makes key genomic data sets available to the entire scientific community without restrictions. seeks be a fundamental resource driving progress by creating, maintaining and updating reference genome annotation comparative genomics resources. This year we describe our new expanded gene, variant capabilities, which led 50% increase in number of vertebrate genomes support. We have also doubled human variants added regulatory regions for many mouse...

10.1093/nar/gky1113 article EN cc-by Nucleic Acids Research 2018-10-23

Ensembl (www.ensembl.org) is a database and genome browser for enabling research on vertebrate genomes. We import, analyse, curate integrate diverse collection of large-scale reference data to create more comprehensive view biology than would be possible from any individual dataset. Our extensive resources include evidence-based gene regulatory region annotation, variation trees. An accompanying suite tools, infrastructure programmatic access methods ensure uniform analysis distribution all...

10.1093/nar/gkw1104 article EN cc-by Nucleic Acids Research 2016-11-28

Ensembl Genomes (http://www.ensemblgenomes.org) is an integrating resource for genome-scale data from non-vertebrate species, complementing the resources vertebrate genomics developed in context of project (http://www.ensembl.org). Together, two provide a consistent set programmatic and interactive interfaces to rich range including reference sequence, gene models, transcriptional data, genetic variation comparative analysis. This paper provides update previous publications about resource,...

10.1093/nar/gkv1209 article EN cc-by Nucleic Acids Research 2015-11-17

Ensembl Genomes (http://www.ensemblgenomes.org) is an integrating resource for genome-scale data from non-vertebrate species, complementing the resources vertebrate genomics developed in project (http://www.ensembl.org). Together, two provide a consistent set of programmatic and interactive interfaces to rich range including genome sequence, gene models, transcript genetic variation, comparative analysis. This paper provides update previous publications about resource, with focus on recent...

10.1093/nar/gkx1011 article EN cc-by Nucleic Acids Research 2017-10-24

Ensembl Genomes (http://www.ensemblgenomes.org) is an integrating resource for genome-scale data from non-vertebrate species, complementing the resources vertebrate genomics developed in context of project (http://www.ensembl.org). Together, two provide a consistent set interfaces to genomic across tree life, including reference genome sequence, gene models, transcriptional data, genetic variation and comparative analysis. Data may be accessed via our website, online tools platform...

10.1093/nar/gkz890 article EN cc-by Nucleic Acids Research 2019-10-02

Abstract To sustain and develop the largest fully open human genomic resources International Genome Sample Resource (IGSR) (https://www.internationalgenome.org) was established. It is built on foundation of 1000 Genomes Project, which created openly accessible catalogue variation developed from samples spanning five continents. IGSR (i) maintains access to Project resources, (ii) updates GRCh38 reference assembly, (iii) adds new data generated cell lines, (iv) shares with a similarly consent...

10.1093/nar/gkz836 article EN cc-by Nucleic Acids Research 2019-10-01

The International Genome Sample Resource (IGSR; http://www.internationalgenome.org) expands in data type and population diversity the resources from 1000 Genomes Project. IGSR represents largest open collection of human variation provides easy access to these resources. was established 2015 maintain extend Project data, which has been widely used as a reference set by researchers developing analysis methods. mapped all sequence newest (GRCh38), will release updated variant calls ensure...

10.1093/nar/gkw829 article EN cc-by Nucleic Acids Research 2016-09-15

Abstract Ensembl Genomes (https://www.ensemblgenomes.org) provides access to non-vertebrate genomes and analysis complementing vertebrate resources developed by the project (https://www.ensembl.org). The two collectively present genome annotation through a consistent set of interfaces spanning tree life presenting sequence, annotation, variation, transcriptomic data comparative analysis. Here, we our largest increase in plant, metazoan fungal since project's inception creating one world's...

10.1093/nar/gkab1007 article EN cc-by Nucleic Acids Research 2021-11-10

New experimental techniques in epigenomics allow researchers to assay a diversity of highly dynamic features such as histone marks, DNA modifications or chromatin structure. The study their fluctuations should provide insights into gene expression regulation, cell differentiation and disease. Ensembl project collects maintains the regulation data resources on epigenetic transcription factor binding methylation for human mouse, well microarray probe mappings annotations variety chordate...

10.1093/database/bav119 article EN cc-by Database 2016-01-01

The Ensembl Variant Effect Predictor (VEP) is a freely available, open-source tool for the annotation and filtering of genomic variants. It predicts variant molecular consequences using Ensembl/GENCODE or RefSeq gene sets. also reports phenotype associations from databases such as ClinVar, allele frequencies studies including gnomAD, predictions deleteriousness tools Sorting Intolerant From Tolerant Combined Annotation Dependent Depletion. VEP includes options to customize prioritization....

10.1002/humu.24298 article EN Human Mutation 2021-11-24

The Ensembl Genome Browser provides a wealth of freely available genomic data that can be accessed for many purposes by genetics, genomics, and molecular biology researchers. Herein we present two protocols exploring different aspects these data: phenotype its associated variants genes, promoter the epigenetic marks protein-binding activity with it. These workflows illustrate subset types through Browser, considered springboard further exploration.

10.1007/978-1-4939-7737-6_6 article EN cc-by Methods in molecular biology 2018-01-01

Abstract Background Variant interpretation is dependent on transcript annotation and remains time consuming challenging. There are major obstacles for historical data reuse of new variants. First, both RefSeq Ensembl/GENCODE produce sets in common use, but there currently no easy way to translate between the two. Second, resources often used variant (e.g. ClinVar, gnomAD, UniProt) do not use same set, nor default or protein sequence. Method Ensembl ran a survey 2018 sample attitudes choosing...

10.1002/mgg3.1786 article EN cc-by Molecular Genetics & Genomic Medicine 2021-08-26

As part of our Q&A series, Genome Biology spoke to four scientists about their personal experiences as parents in careers highlight the challenges researchers having children and support they need this regard. Our participants also included a couple (Kristin Tessmar-Raible Florian Raible), we were interested know whether both being active can have an impact. One wishes remain anonymous.

10.1186/s13059-018-1549-3 article EN cc-by Genome biology 2018-10-29

The Ensembl Variant Effect Predictor (VEP) is a freely available, open source tool for the annotation and filtering of genomic variants. It predicts variant molecular consequence using Ensembl/GENCODE or RefSeq gene sets. also reports phenotype associations from databases such as ClinVar, allele frequencies studies including gnomAD, predictions deleteriousness tools SIFT CADD. VEP includes options to customise prioritisation. well supported updated roughly quarterly incorporate latest gene,...

10.22541/au.162460842.27880071/v1 preprint EN Authorea (Authorea) 2021-06-25

Variant interpretation is dependent on transcript annotation and remains time consuming challenging. There are major obstacles for historical data reuse of new variants. First, both RefSeq Ensembl/GENCODE produce sets in common use, but there currently no easy way to translate between the two. Second, resources often used variant (e.g. ClinVar, gnomAD, UniProt) do not use same set, nor default or protein sequence. Ensembl ran a survey 2018 assay attitudes choosing one per locus, gather...

10.22541/au.161674625.52543047/v1 preprint EN Authorea (Authorea) 2021-03-26

Variant interpretation is dependent on transcript annotation and remains time consuming challenging. There are major obstacles for historical data reuse of new variants. First, both RefSeq Ensembl/GENCODE produce sets in common use, but there currently no easy way to translate between the two. Second, resources often used variant (e.g., ClinVar, gnomAD, UniProt) do not use same set, nor default or protein sequence. Ensembl ran a survey 2018 sample attitudes choosing one per locus, gather...

10.22541/au.161901710.08079318/v1 preprint EN cc-by Authorea (Authorea) 2021-04-21
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