Preprints enable researchers to rapidly share their work publicly before the formal peer review process. This webinar will demonstrate how to incorporate preprints in your literature search routine by using the discovery tools developed by Europe PMC.

Europe PMC indexes preprints abstracts and full text COVID-19 preprints from many life sciences preprint servers alongside published articles. Preprints in Europe PMC are linked to data and platforms that comment on or peer review preprints. We will demonstrate how to find the data behind preprints as well as comments and reviews associated with a given preprint. We will also share useful tips for posting your pre-prints, claiming a pre-print to your ORCID and tracking your pre-prints’ citations, revisions or recommendations by readers.

To learn more about using Europe PMC in your research try our Europe PMC: Quick tour or our webinar Using Europe PMC for effective literature research.

Who is this course for?
This webinar is suitable to any biological researchers who wish to learn more about incorporating pre-prints into their research. No prior knowledge is required.

Outcomes
By the end of the webinar you will be able to:

Define what a preprint is
Identify how to search for relevant preprints
Find data behind the preprint
Find comments or reviews associated with a preprint
Demonstrate how to add a preprint publication to your publication list
Describe how to cite a preprint

This course will provide an introduction to protein classification and basic concepts, such as proteins families, domains and sequence features.

By the end of the course you will be able to:
Describe the importance of classifying proteins
Explain how protein families, domains and sequence features can be defined, and how these can be used to classify proteins
Describe the different predictive methods you can use to help classify proteins: patterns, profiles, fingerprints and hidden Markov models (HMMs)
List which resources for classifying proteins according to family, domain and sequence features are available at the EMBL-EBI

This course will provide an introduction to molecular interactions, their importance and the methodologies use to generate and capture interaction data.

By the end of the course you will be able to:
Know the importance of molecular interaction information and be able to provide examples of different types of molecular interaction
List the main experimental methodologies used to study protein-protein interactions
Describe of the limitations that these methodologies have
Determine where to find molecular interaction data at EMBL-EBI

This course will provide an overview of proteomics and introduce resources related to proteomics that are provided by EMBL-EBI.

By the end of the course you will be able to:
Describe what is meant by 'proteomics'
List proteomics resources that are available at the EBI
Describe what UniProtKB, IntAct, Reactome and PRIDE databases are
Know the differences between the UniProtKB, IntAct, Reactome and PRIDE databases are, and when to use each database

Psychological sciences preprints from PsyArXiv are now searchable in Europe PMC, an open database of life sciences literature. Join us for this live demo to learn how to find PsyArXiv preprints in Europe PMC, how to explore links to data, citations, comments or open peer reviews, how to claim preprints to your ORCID record, and more.

Who is this course for?
This webinar is aimed at psychology researchers.

Outcomes
By the end of the webinar you will be able to:

find PsyArXiv preprints in Europe PMC
explore links to data, citations, comments or open peer reviews
claim preprints to your ORCID record

This webinar focuses on how to use QuickGO, our online browser for viewing the gene ontology (GO) and GO annotations. We will be reviewing what GO is, how to read an annotation, and how you can use QuickGO to find the information youneed.

The Gene Ontology Annotation (GOA) project provides high-quality functional annotations to gene products, such as proteins, protein complexes and non-coding RNAs. Currently our database contains over 390 million annotations to 60 million distinct gene products from almost 725,000 taxa. It is therefore critical to be able to easily and quickly mine and visualise the available information.

Who is this course for?
This webinar is aimed at anyone who wants to learn more about gene ontology annotation. No prior knowledge of bioinformatics is required, but an undergraduate level knowledge of biology would be useful.

Non-coding RNAs (ncRNAs) are essential for all life and carry out a wide range of functions. RNAcentral is a database of ncRNA sequences that provides a unified access point to ncRNA annotations from more than forty member databases and helps provide insight into RNA function.

By the end of the course you will be able to:
Describe what RNAcentral is and the data it contains
Navigate the RNAcentral website
Perform searches using RNAcentral

This course provides an overview to the Reactome pathway database web interface and the database content. For a short introduction to Reactome, please visit the Reactome quick tour.

By the end of the course you will be able to:
Explain the foundation of Reactome
Describe how data is curated from literature
Navigate the Reactome website
Explore the various forms of data representation in the interface
Use the range of analysis tools

This quick tour provides a brief introduction to Reactome - a manually curated freely available biological pathway knowledgebase.

By the end of the course you will be able to:
Explain the need and significance of Reactome
Describe the range of capabilities of the resource
Search your favourite molecule in Reactome
Perform a basic pathway enrichment analysis and visualise results

This course introduces the analysis tools available via the Reactome pathway database web interface. For a short introduction to Reactome, please visit the Reactome quick tour.

By the end of the course you will be able to:
Explore different types of analysis tools in Reactome website
Identify how to use Reactome interface to submit your own data for analysis
Visualize analysis results at different levels and formats
Find out several complementary tools can help you explore pathway data

This webinar, will give an overview of BioModels, a popular repository of curated systems biology models. It will also provide a brief introduction to BioModels Parameters, a sub-resource within BioModels that provides model parts, followed by discussion of a study carried out to assess how reproducible systems biology models are, the reasons why mathematical models fail to reproduce simulation results and the solution we propose to tackle lack of reproducibility.

Who is this course for?
This webinar is suitable for any researchers interested in systems biology, computational biology modelling and reproducibility.

Outcomes
By the end of the webinar you will be able to:

Describe the role of BioModels
Know when to use the sub-resource BioModels Parameters
Discuss how reproducible systems biology models are

This course will provide an introduction to cloud computing and some practical experience in building, deploying and running applications in cloud platforms - OpenStack, Google, Amazon and Azure.

By the end of the course you will be able to:
Discuss user-centric hybrid cloud strategy
Describe architectural considerations around porting applications to a cloud
Deploy across different clouds

This quick tour provides a brief introduction to Rfam, the EBI's database of RNA families.

By the end of the course you will be able to:
Outline what Rfam provides
Search RNA-related information with Rfam
Describe where to find out more about Rfam

Literature search is an essential and routine task in scientific research. Following the release of the new Europe PMC website, this webinar will show you the new full-text searching and browsing features built to optimise the literature research. Learn how to find the most recent, most relevant and most cited articles in a topic of interest. Also, learn how to find and explore the enhanced content available in Europe PMC.

Who is this course for?
This webinar is aimed at life science scientists who are interested in optimising their literature search skills. No prior knowledge of bioinformatics is required.

This webinar will introduce the PDBe search API, a powerful Solr-based query system that underlies the PDBe search pages. The breadth of search options will be highlighted, along with specific case studies that demonstrate what is possible through the search API.

This webinar is part of a 6-part PDBe API webinar series, introducing different levels of programmatic access at PDBe.The series will range from basic data retrieval and search using the PDBe API to more advanced features, including access and reuse of PDBe data visualisation components.

Who is this course for?
This webinar is open to anyone who is interested in learning about the programmatic access of PDBe.

Outcomes
By the end of the webinar you will be able to:

Describe the basic functionality of PDBe search API
Identify the applications of using the search API via specific case studies

BLAST and multiple sequence alignments are essential methods commonly used to find and compare protein or nucleotide sequences. In this webinar, we will demonstrate how you can access and run these sequence analysis tools in UniProt, a comprehensive resource of protein sequence and function. We will show you how to navigate the results and how you can exploit UniProt protein annotation to expand further the analysis of your results.

Who is this course for?
This webinar is aimed at students or early stage researchers beginning to use bioinformatics resources in their studies/research who wish to learn how to run a BLAST or a sequence alignment in UniProt. No prior knowledge of bioinformatics is required, but undergraduate level knowledge of biology would be useful.

Outcomes
By the end of the webinar you will be able to:
• Use Align and BLAST sequence analysis tools
• Retrieve and analyse the results

In this webinar, we will look at a Galaxy interface for single cell analysis. Specifically, we will run Scanpy (which would otherwise require Python programming skills) to analyse a Drop-seq dataset located in EMBL-EBI's Single Cell Expression Atlas.

Who is this course for?
This webinar is aimed at individuals interested in single cell RNA-seq analysis. No prior knowledge of bioinformatics is required, but an undergraduate level understanding of biology would be useful.

This course provides a basic introduction to volume matching techniques in the field of structural bioinformatics. It explains the use of electron microscopy (EM) and electron tomography (ET) data in creating 3D volume maps of proteins, and the approaches that can be used to compare volumes. It describes how volume matching can be used to find similar structures, or to highlight specific differences between related structures.

By the end of the course you will be able to:
Describe what structural volume data is
Appreciate the value of volume data even in the absence of atomic coordinates
List the variety of methods available to compare volumes

In order to have your metagenomic data analysed by MGnify your sequence data has to be captured by the European Nucleotide Archive (ENA). ENA is a comprehensive database of nucleotide sequences, providing information on raw sequencing data, sequence assemblies and functional annotation.

This webinar will discuss how you can submit metagenomic studies to ENA, make sure they are well annotated, and help people understand your work. It will also cover Webin-CLI, the newly developed Webin Command Line Submission tool. The webinar is presented by Sam Holt who works for ENA.

Who is this course for?
This webinar is aimed at life scientists who are working in the field of metagenomics and who want to learn more about how submitting their data to ENA.

The GWAS Catalog is a comprehensive and highly accessed resource for GWAS data, including full summary statistics. We encourage authors to submit their data to us, to make them accessible and reusable by the wider GWAS community. This webinar provides a step-by-step guide to the submission process, including setting up your account, converting your summary statistics to our standard format, providing metadata and receiving accession numbers to cite in publications.

Who is this course for?
This webinar is for any academic, clinical or industrial researcher who is generating genome wide association data.

Outcomes
By the end of the webinar you will be able to:

Access the GWAS Catalog submission system
Format, validate and submit your own summary statistics