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LATEST NEWS



26 Jan 2024


PROTEOMICSML: EMPOWERING PROTEOMICS RESEARCH WITH MACHINE LEARNING

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12 Jan 2024


ENSEMBL 111 HAS BEEN RELEASED

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09 Jan 2024


THE BIODIVERSITY CELL ATLAS: CHARTING CELLULAR DIVERSITY ON EARTH

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20 Dec 2023


UNRAVELLING THE ROLE OF IMMUNE CELLS IN EARLY LUNG DEVELOPMENT

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AI AND MACHINE LEARNING

With the increasing amount of data produced by researchers, EMBL-EBI is fast
becoming a key player in the field. Meet our AI experts and learn how our data
resources benefit from machine learning.

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EMBL-EBI TRAINING EVENTS



31 Jan 2024 - 31 Jan 2024


EXPLORING TARGET-DISEASE ASSOCIATIONS WITH THE OPEN TARGETS PLATFORM’S NEW
INTERFACE

The Open Targets Platform — https://platform.opentargets.org/ — is a
comprehensive research tool that supports systematic identification and
prioritisation of potential therapeutic drug targets.‌ By integrating publicly
available datasets along with data generated by the Open Targets consortium, the
Platform builds and scores target-disease associations. Users can also explore
relevant annotation information about targets, diseases, phenotypes, and drugs,
as well as their most relevant relationships.This webinar will provide an
introduction to the capabilities and use cases for the Open Targets Platform,
and demonstrate two newly introduced features. The new associations view enables
users to dynamically modify the relative importance of the different data
sources ‘on the fly’, and the Target Prioritisation view provides an assessment
of target-specific properties of interest when evaluating the suitability of a
target for a drug discovery programme.There are major steps in our ongoing
effort both to refresh the look and feel of the Platform and to enhance the
Platform’s capabilities to help build therapeutic hypotheses.

Webinar

Virtual

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10 Jun 2024 - 14 Jun 2024


SYSTEMS BIOLOGY: FROM LARGE DATASETS TO BIOLOGICAL INSIGHT

This course covers the use of computational tools to extract biological insight
from omics datasets. The content will explore a range of approaches – ranging
from network inference and data integration to machine learning and logic
modelling – that can be used to extract biological insights from varied data
types. Together these techniques will provide participants with a useful toolkit
for designing new strategies to extract relevant information and understanding
from large-scale biological data.The motivation for running this course is a
result of advances in computer science and high-performance computing that have
led to groundbreaking developments in systems biology model inference. With the
comparable increase of publicly-available, large-scale biological data, the
challenge now lies in interpreting them in a biologically valuable manner.
Likewise, machine learning approaches are making a significant impact in our
analysis of large omics datasets and the extraction of useful biological
knowledge.

Course

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24 Jun 2024 - 28 Jun 2024


CANCER GENOMICS AND TRANSCRIPTOMICS

This course will focus on the analysis of data from genomic studies of cancer.
It will also highlight the application of transcriptomic analysis and
single-cell technologies in cancer. Talks and interactive sessions will give an
insight into the bioinformatic concepts required to analyse such data, whilst
practical sessions will enable the participants to apply statistical methods to
the analysis of cancer genomics data under the guidance of the trainers.Virtual
courseParticipants will learn via a mix of pre-recorded lectures, live
presentations, and trainer Q&A sessions. Practical experience will be developed
through group activities and trainer-led computational exercises. Live sessions
will be delivered using Zoom with additional support and asynchronous
communication via Slack.Pre-recorded material may be provided before the course
starts that participants will need to watch, read or work through to gain the
most out of the actual training event. In the week before the course, there will
be a brief induction session. Computational practicals will run on EMBL-EBI's
virtual training infrastructure, meaning participants will not require access to
a powerful computer or install complex software on their own
machines.Participants will need to be available between the hours of 08:45 –
17:00 BST each day of the course. Trainers will be available to assist, answer
questions, and provide further explanations during these times.

Course

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CAREERS


RECRUITMENT: WHAT TO EXPECT

Everything you need to know about EMBL-EBI’s recruitment process.


CAREERS AT EMBL-EBI

Focus your energy and skills on something that really matters: using technology
to contribute to discoveries that benefit humankind.


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We recruit staff from all over the world and offer exemption from UK immigration
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WE ARE EMBL-EBI: OUR IMPACT

The European Bioinformatics Institute (EMBL-EBI) is part of EMBL, Europe’s
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Access a wealth of world-leading training in bioinformatics and scientific
service provision, regardless of your career stage or sector.


INDUSTRY

Explore our knowledge-exchange Industry Programme and take part in translational
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ELIXIR

We support, as an ELIXIR node, the coordination of biological data provision
throughout Europe.

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ABOUT EMBL


EMBL’s European Bioinformatics Institute is one of the six sites of the European
Molecular Biology Laboratory (EMBL). With 27 member states and thousands of
scientists and engineers working together, EMBL is a powerhouse of biological
expertise.

EMBL is an intergovernmental organisation, headquartered in Heidelberg. It was
founded in 1974 with the mission of promoting molecular biology research in
Europe, training young scientists, and developing new technologies.

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EMBL-EBI is the home for big data in biology.

We help scientists exploit complex information to make discoveries that benefit
humankind.

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RESEARCH

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TRAINING

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