Ensembl Plants: Visualising, mining and analysing crop genomics data

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Ensembl Plants is a genome centric platform for visualisation and analysis of plant genomics data. It hosts assembly, sequence, expression, variation and comparative datasets for a growing number of plant species (currently 26) covering a range of economically important crops, including brassica, tomato, grape, barley, potato, maize and wheat, and taxonomically diverse model organisms. The web-based genome browser visually integrates sequence and assembly information with genes, markers, probes, repeats and other public or user-supplied datasets. It includes a web-based data mining tool, allowing specific sets of data to be queried and downloaded for offline analysis. In addition to the browser, all data can be accessed computationally via extensive Perl and REST APIs and is available for FTP download or direct database access.

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Ensembl Plants:Visualising, mining and analysing crop genomics data

Dan BolserEnsembl Plants project leaderEMBL-EBI

http://plants.ensembl.org#EnsemblGenomes

Visualising, mining and analysing data:

● The Ensembl genome browser

● BioMart

● Tools for processing your own data

Overview

Background:

● Ensembl Plants● History● Data

● Recent updates● Wheat ● Barley

EBI Ensembl is developed jointly by the EBI and

the Wellcome Trust Sanger Institute

Ensembl Plants uses Ensembl technology

Ensembl:

● A platform for genome browsing, annotation and analysisdeveloped jointly by the EBI and Wellcome Trust Sanger Institute.

● Has modules for handling:● Genomic data, Variations, Comparative genomics, Gene prediction, ...

● Multiple points of access to data:● Browser-based application, Perl and REST APIs, direct access

(MySQL), BioMart data mining tool, DAS (client and server), FTP.

● Upload your own data and compare it to the reference seq. and annotation.

Ensembl was originally developed for vertebrate genomes, subsequently extended to non-vertebrate species:● Ensembl Genomes → Ensembl Plants

Currently 33 genomes in Ensembl Plants

http://plants.ensembl.org

Dicots in Ensembl Plants (10)

Brassicales

Fabales

Malpighiales

Rosales

Solanales

Vitales

Monocots in Ensembl Plants (12+5)

Poales

Zingiberales

'Others' (5)

Types of data in Ensembl (Ensembl Plants)

● Genomic sequence● Gene, transcript, and protein annotations● External references and ontology terms● Mapped sequences: cDNAs, proteins,

probes, BACs, repeats, markers, ...

● Variation data:● sequence variants● structural variants

● Comparative data:● gene trees, orthologues, paralogues● whole genome alignments and synteny

Recent data updates

Wheat data in Ensembl Plants

● The chromosome survey sequencefrom the International Wheat Genome Sequencing Consortium.● Version 2.1 of the IWGSC gene models called

on the chromosome survey sequence.

● Repeats● Repbase● The Triticeae Repeat Sequence Database

(TREP)

● Alignments● RNA-seq from various studies in ENA● ESTs and UniGene clusters● 5x 454 Brenchley et al.● Triticum turgidum cDNA assemblies

Wheat data in Ensembl Plants

● Whole genome alignments● Between wheat(s) and:

● Rice● Brachypodium

● Within wheat● A vs. B● A vs. D● B vs. D

● Gene trees● Aegilops tauschii● Triticum urartu● and other more

distant relatives

WGA between wheat, rice and brachy

WGA within wheat A, B and D sub-genomes

Gene trees

Gene trees

Walk through ‘demo’ for Ensembl Plants

Search

Variant Effect Predictor (VEP)

● Predicts functional consequences of known and unknown variants

● For substitutions, insertions, deletions and structural variants

● Web interface (for up to 750 variants), standalone Perl script, Perl API and REST API

Visualise your own data

Upload data:● Data saved on server● 5 MB limit

● Large file formats?

Attach remote files:● URL-based

● HTTP or FTP● No size limit

Upload formats:● BED genes / features● Gbrowse genes / features● GFF/GTF genes / features● PSL sequence alignments● WIG continuous-valued data● BedGraph continuous-valued data● TrackHub collections of tracks

Attach formats:● BigBed genes / features● BAM sequence alignments● BigWig continuous-valued data● VCF variants

User added tracks:● Can be saved or shared● Only trivial security, do not use for sensitive data!

The barley Gene-ome

● Step 1 – Dataset● Choose your dataset

and species

● Step 2 – Filters● Limit your dataset

● Step 3 – Attributes● Specify what

information you want to output

● Step 4 – Results● Preview and output

your results

Blast and BioMart...

pkersey@ebi.ac.uk 10/01/2014

Funding (Ensembl Plants)

• Ensembl Genomes Funded by

• EMBL

• EU (INFRAVEC, Microme, transPLANT, AllBio)

• BBSRC (PhytoPath, wheat, barley and midge sequencing, UK-US collaboration, RNAcentral)

• Wellcome Trust (PomBase)

• NIH/NIAID (VectorBase)

• NSF (Gramene collaboration)

• Bill and Melinda Gates Foundation (wheat rust)

pkersey@ebi.ac.uk 10/01/2014

People (Ensembl Plants)

• James Allen, Irina Armean, Dan Bolser, Mikkel Christensen, Paul Davies, Christoph Grabmueller, Kevin Howe, Malcolm Hinsley, Jay Humphrey, Arnaud Kerhornou, Paul Kersey, Julia Khobdova, Eugene Kulesha, Nick Langridge, Dan Lawson, Mark McDowall, Uma Maheswari, Gareth Maslen, Michael Nuhn, Chuang Kee Ong, Michael Paulini, Helder Pedro, Anton Petrov, Dan Staines, Mary Ann Tuli, Brandon Walts, Gary Williams

• If you have a question that is not answered here, please Contact our HelpDesk:• helpdesk@ensemblgenomes.org