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Featured researches published by Andreas Kähäri.


Database | 2011

Ensembl BioMarts: a hub for data retrieval across taxonomic space

Rhoda Kinsella; Andreas Kähäri; Syed Haider; Jorge Zamora; Glenn Proctor; Giulietta Spudich; Jeff Almeida-King; Daniel M. Staines; Paul S. Derwent; Arnaud Kerhornou; Paul Kersey; Paul Flicek

For a number of years the BioMart data warehousing system has proven to be a valuable resource for scientists seeking a fast and versatile means of accessing the growing volume of genomic data provided by the Ensembl project. The launch of the Ensembl Genomes project in 2009 complemented the Ensembl project by utilizing the same visualization, interactive and programming tools to provide users with a means for accessing genome data from a further five domains: protists, bacteria, metazoa, plants and fungi. The Ensembl and Ensembl Genomes BioMarts provide a point of access to the high-quality gene annotation, variation data, functional and regulatory annotation and evolutionary relationships from genomes spanning the taxonomic space. This article aims to give a comprehensive overview of the Ensembl and Ensembl Genomes BioMarts as well as some useful examples and a description of current data content and future objectives. Database URLs: http://www.ensembl.org/biomart/martview/; http://metazoa.ensembl.org/biomart/martview/; http://plants.ensembl.org/biomart/martview/; http://protists.ensembl.org/biomart/martview/; http://fungi.ensembl.org/biomart/martview/; http://bacteria.ensembl.org/biomart/martview/


Nucleic Acids Research | 2010

Ensembl’s 10th year

Paul Flicek; Bronwen Aken; Benoit Ballester; Kathryn Beal; Eugene Bragin; Simon Brent; Yuan Chen; Peter Clapham; Guy Coates; Susan Fairley; Stephen Fitzgerald; Julio Fernandez-Banet; Leo Gordon; Stefan Gräf; Syed Haider; Martin Hammond; Kerstin Howe; Andrew M. Jenkinson; Nathan Johnson; Andreas Kähäri; Damian Keefe; Stephen Keenan; Rhoda Kinsella; Felix Kokocinski; Gautier Koscielny; Eugene Kulesha; Daniel Lawson; Ian Longden; Tim Massingham; William M. McLaren

Ensembl (http://www.ensembl.org) integrates genomic information for a comprehensive set of chordate genomes with a particular focus on resources for human, mouse, rat, zebrafish and other high-value sequenced genomes. We provide complete gene annotations for all supported species in addition to specific resources that target genome variation, function and evolution. Ensembl data is accessible in a variety of formats including via our genome browser, API and BioMart. This year marks the tenth anniversary of Ensembl and in that time the project has grown with advances in genome technology. As of release 56 (September 2009), Ensembl supports 51 species including marmoset, pig, zebra finch, lizard, gorilla and wallaby, which were added in the past year. Major additions and improvements to Ensembl since our previous report include the incorporation of the human GRCh37 assembly, enhanced visualisation and data-mining options for the Ensembl regulatory features and continued development of our software infrastructure.


Database | 2016

The Ensembl gene annotation system.

Bronwen Aken; Sarah Ayling; Daniel Barrell; Laura Clarke; Valery Curwen; Susan Fairley; Julio Fernandez Banet; Konstantinos Billis; Carlos Giron; Thibaut Hourlier; Kevin L. Howe; Andreas Kähäri; Felix Kokocinski; Fergal Martin; Daniel N. Murphy; Rishi Nag; Magali Ruffier; Michael Schuster; Y. Amy Tang; Jan-Hinnerk Vogel; Simon White; Amonida Zadissa; Paul Flicek; Stephen M. J. Searle

The Ensembl gene annotation system has been used to annotate over 70 different vertebrate species across a wide range of genome projects. Furthermore, it generates the automatic alignment-based annotation for the human and mouse GENCODE gene sets. The system is based on the alignment of biological sequences, including cDNAs, proteins and RNA-seq reads, to the target genome in order to construct candidate transcript models. Careful assessment and filtering of these candidate transcripts ultimately leads to the final gene set, which is made available on the Ensembl website. Here, we describe the annotation process in detail. Database URL: http://www.ensembl.org/index.html


Nucleic Acids Research | 2010

Ensembl Genomes: Extending Ensembl across the taxonomic space

Paul J. Kersey; Daniel John Lawson; Ewan Birney; Paul S. Derwent; Matthias Haimel; Javier Herrero; Stephen Keenan; Arnaud Kerhornou; Gautier Koscielny; Andreas Kähäri; Rhoda Kinsella; Eugene Kulesha; Uma Maheswari; Karine Megy; Michael Nuhn; Glenn Proctor; Daniel M. Staines; Franck Valentin; Albert J. Vilella; Andy Yates

Ensembl Genomes (http://www.ensemblgenomes.org) is a new portal offering integrated access to genome-scale data from non-vertebrate species of scientific interest, developed using the Ensembl genome annotation and visualisation platform. Ensembl Genomes consists of five sub-portals (for bacteria, protists, fungi, plants and invertebrate metazoa) designed to complement the availability of vertebrate genomes in Ensembl. Many of the databases supporting the portal have been built in close collaboration with the scientific community, which we consider as essential for maintaining the accuracy and usefulness of the resource. A common set of user interfaces (which include a graphical genome browser, FTP, BLAST search, a query optimised data warehouse, programmatic access, and a Perl API) is provided for all domains. Data types incorporated include annotation of (protein and non-protein coding) genes, cross references to external resources, and high throughput experimental data (e.g. data from large scale studies of gene expression and polymorphism visualised in their genomic context). Additionally, extensive comparative analysis has been performed, both within defined clades and across the wider taxonomy, and sequence alignments and gene trees resulting from this can be accessed through the site.


BMC Bioinformatics | 2008

Integrating biological data – the Distributed Annotation System

Andrew M. Jenkinson; Mario Albrecht; Ewan Birney; Hagen Blankenburg; Thomas A. Down; Robert D. Finn; Henning Hermjakob; Tim Hubbard; Rafael C. Jimenez; Philip Jones; Andreas Kähäri; Eugene Kulesha; José R. Macías; Gabrielle A. Reeves; Andreas Prlić

BackgroundThe Distributed Annotation System (DAS) is a widely adopted protocol for dynamically integrating a wide range of biological data from geographically diverse sources. DAS continues to expand its applicability and evolve in response to new challenges facing integrative bioinformatics.ResultsHere we describe the various infrastructure components of DAS and present a new extended version of the DAS specification. Version 1.53E incorporates several recent developments, including its extension to serve new data types and an ontology for protein features.ConclusionOur extensions to the DAS protocol have facilitated the integration of new data types, and our improvements to the existing DAS infrastructure have addressed recent challenges. The steadily increasing numbers of available data sources demonstrates further adoption of the DAS protocol.


BMC Bioinformatics | 2007

Integrating sequence and structural biology with DAS

Andreas Prlić; Thomas A. Down; Eugene Kulesha; Robert D. Finn; Andreas Kähäri; Tim Hubbard

BackgroundThe Distributed Annotation System (DAS) is a network protocol for exchanging biological data. It is frequently used to share annotations of genomes and protein sequence.ResultsHere we present several extensions to the current DAS 1.5 protocol. These provide new commands to share alignments, three dimensional molecular structure data, add the possibility for registration and discovery of DAS servers, and provide a convention how to provide different types of data plots. We present examples of web sites and applications that use the new extensions. We operate a public registry of DAS sources, which now includes entries for more than 250 distinct sources.ConclusionOur DAS extensions are essential for the management of the growing number of services and exchange of diverse biological data sets. In addition the extensions allow new types of applications to be developed and scientific questions to be addressed. The registry of DAS sources is available at http://www.dasregistry.org


Bioinformatics | 2005

Dasty and UniProt DAS: a perfect pair for protein feature visualization

Philip Jones; Nisha Vinod; Thomas A. Down; Andre Hackmann; Andreas Kähäri; Ernst Kretschmann; Antony F. Quinn; Daniela Wieser; Henning Hermjakob; Rolf Apweiler

In this study, we present two freely available and complementary Distributed Annotation System (DAS) resources: a DAS reference server that provides up-to-date sequence and annotation from UniProt, with additional feature links and database cross-references from InterPro and a DAS client implemented using Java and Macromedia Flash that is optimized for the display of protein features.


Database | 2017

Ensembl core software resources: storage and programmatic access for DNA sequence and genome annotation.

Magali Ruffier; Andreas Kähäri; Monika Komorowska; Stephen Keenan; Matthew R. Laird; Ian Longden; Glenn Proctor; Steve Searle; Daniel M. Staines; Kieron Taylor; Alessandro Vullo; Andrew Yates; Daniel R. Zerbino; Paul Flicek

Abstract The Ensembl software resources are a stable infrastructure to store, access and manipulate genome assemblies and their functional annotations. The Ensembl ‘Core’ database and Application Programming Interface (API) was our first major piece of software infrastructure and remains at the centre of all of our genome resources. Since its initial design more than fifteen years ago, the number of publicly available genomic, transcriptomic and proteomic datasets has grown enormously, accelerated by continuous advances in DNA-sequencing technology. Initially intended to provide annotation for the reference human genome, we have extended our framework to support the genomes of all species as well as richer assembly models. Cross-referenced links to other informatics resources facilitate searching our database with a variety of popular identifiers such as UniProt and RefSeq. Our comprehensive and robust framework storing a large diversity of genome annotations in one location serves as a platform for other groups to generate and maintain their own tailored annotation. We welcome reuse and contributions: our databases and APIs are publicly available, all of our source code is released with a permissive Apache v2.0 licence at http://github.com/Ensembl and we have an active developer mailing list (http://www.ensembl.org/info/about/contact/index.html). Database URL: http://www.ensembl.org


data integration in the life sciences | 2006

The distributed annotation system for integration of biological data

Andreas Prlić; Ewan Birney; Tony Cox; Thomas A. Down; Robert D. Finn; Stefan Gräf; David K. Jackson; Andreas Kähäri; Eugene Kulesha; Roger Pettett; James Smith; Jim Stalker; Tim Hubbard

The Distributed Annotation System (DAS) is a protocol for sharing of biological data which allows for dynamical data integration. It has become widely used in both the genome and protein bioinformatics communities. Here we provide an overview of the available DAS infrastructure and present our latest developments, including a registration server that facilitates service discovery by DAS clients while automatically monitoring service availability. Currently there are 108 registered DAS servers, provided by 24 institutions in 10 countries.


parallel computing | 1998

A New Parallel Preconditioner for the Euler Equations

Lina Hemmingsson; Andreas Kähäri

A new parallel preconditioner for the Euler equations has been developed. The preconditioner solve, which is based on fast modified sine transforms and the solution of narrow-banded systems of equations, is shown to be highly parallelizable.

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Eugene Kulesha

European Bioinformatics Institute

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Ewan Birney

European Bioinformatics Institute

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Paul Flicek

European Bioinformatics Institute

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Stephen Keenan

Wellcome Trust Sanger Institute

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Bronwen Aken

European Bioinformatics Institute

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Daniel M. Staines

European Bioinformatics Institute

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Glenn Proctor

European Bioinformatics Institute

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Rhoda Kinsella

European Bioinformatics Institute

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