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16 materials found

Target audience: bioinformaticians 


Implementation of Data Management Plans & Data Stewardship in practice

Materials from the ELIXIR workshop “Implementation of Data Management Plans & Data Stewardship in practice”, Sept 11, 2018 at ECCB2018, Athens, Greece.

Scientific topics: Data submission, annotation and curation, Data management

Keywords: data management, data stewardship, eLearning, EeLP

Resource type: course materials, Training materials, Slides

Implementation of Data Management Plans & Data Stewardship in practice https://tess.elixir-europe.org/materials/implementation-of-data-management-plans-data-stewardship-in-practice Materials from the ELIXIR workshop “Implementation of Data Management Plans & Data Stewardship in practice”, Sept 11, 2018 at ECCB2018, Athens, Greece. Celia van Gelder Roland Krause Mateusz Kuzak Brane Leskosek Marko Vidak Robert Pergl Marek Suchanek Jan Slifka Vojtech Knaisl Data submission, annotation and curation Data management data management, data stewardship, eLearning, EeLP bioinformaticians data stewards
Single cell RNA-seq data analysis with R

This hands-on course introduces the participants to single cell RNA-seq data analysis concepts and popular tools and R packages. It covers the preprocessing steps from raw sequence reads to expression matrix as well as clustering, cell type identification, differential expression analysis and...

Scientific topics: RNA-Seq

Keywords: RNA-Seq, Single Cell technologies, scRNA-seq

Resource type: course materials

Single cell RNA-seq data analysis with R https://tess.elixir-europe.org/materials/single-cell-rna-seq-data-analysis-with-r This hands-on course introduces the participants to single cell RNA-seq data analysis concepts and popular tools and R packages. It covers the preprocessing steps from raw sequence reads to expression matrix as well as clustering, cell type identification, differential expression analysis and pseudotime analysis. Eija Korpelainen RNA-Seq RNA-Seq, Single Cell technologies, scRNA-seq bioinformaticians Biologists
Single cell RNA-seq data analysis with Chipster

This course introduces single cell RNA-seq data analysis methods, tools and file formats. It covers the preprocessing steps of DropSeq data from raw reads to a digital gene expression matrix (DGE), and how to find sub-populations of cells using clustering with the Seurat tools. You will also...

Scientific topics: RNA-Seq

Keywords: RNA-Seq, Single Cell technologies, scRNA-seq

Resource type: course materials, Video

Single cell RNA-seq data analysis with Chipster https://tess.elixir-europe.org/materials/single-cell-rna-seq-data-analysis-with-chipster-6cc8f0fb-1c92-444b-ab19-b04fe6454430 This course introduces single cell RNA-seq data analysis methods, tools and file formats. It covers the preprocessing steps of DropSeq data from raw reads to a digital gene expression matrix (DGE), and how to find sub-populations of cells using clustering with the Seurat tools. You will also learn how to compare two samples and detect conserved cluster markers and differentially expressed genes in them. The user-friendly Chipster software is used in the exercises, so no Unix or R experience is required and the course is thus suitable for everybody. Eija Korpelainen RNA-Seq RNA-Seq, Single Cell technologies, scRNA-seq Biologists bioinformaticians
Programming in the Life Sciences

This is a OER around a six day course on using JavaScript to program the life sciences web, but with a focus on the Open PHACTS API.

Scientific topics: Pharmacology, Drug discovery

Programming in the Life Sciences https://tess.elixir-europe.org/materials/programming-in-the-life-sciences This is a OER around a six day course on using JavaScript to program the life sciences web, but with a focus on the Open PHACTS API. Pharmacology Drug discovery bioinformaticians
Introductory image processing on biological images using python.

A jupyter notebook python practical designed to give students a introduction to opening and processing image files derived from biological samples.

Resource type: Jupyter notebook, PDF

Introductory image processing on biological images using python. https://tess.elixir-europe.org/materials/introductory-image-processing-on-biological-images-using-python A jupyter notebook python practical designed to give students a introduction to opening and processing image files derived from biological samples. Anatole Chessel Volker Baecker Bioimage Analysts Image Analysts Computer Vision scientists bioinformaticians computational scientists Biophysicists Biologists Microscopists Python for Biologists PhD students
EMBL-ABR/ELIXIR/CyVerse workshop: Registries in Bioinformatics

This workshop will provide an introduction to existing solutions and methods for registries across a variety of areas relevant to bioinformatics, such as tools, datasets, standards, events and training.

Keywords: bioinformatics

EMBL-ABR/ELIXIR/CyVerse workshop: Registries in Bioinformatics https://tess.elixir-europe.org/materials/embl-abr-elixir-cyverse-workshop-registries-in-bioinformatics This workshop will provide an introduction to existing solutions and methods for registries across a variety of areas relevant to bioinformatics, such as tools, datasets, standards, events and training. Rafael C Jimenez Jason Williams Sonika Tyagi bioinformatics bioinformaticians
EMBL-ABR Best Practice workshop series: the data life-cycle

From 24-28 October 2016, the EMBL-ABR Hub ran a week-long Best Practice workshop series focussing on the Data Life Cycle for biological and bioinformatics data. International and local faculty members joined highly engaged participants from around Australia: students, postdocs, lecturers, other...

Scientific topics: Data types and objects, Data management

Keywords: bioinformatics, data

EMBL-ABR Best Practice workshop series: the data life-cycle https://tess.elixir-europe.org/materials/embl-abr-best-practice-workshop-series-the-data-life-cycle From 24-28 October 2016, the EMBL-ABR Hub ran a week-long Best Practice workshop series focussing on the Data Life Cycle for biological and bioinformatics data. International and local faculty members joined highly engaged participants from around Australia: students, postdocs, lecturers, other scientists, research assistants and research data managers. Jyoti Khadake Sandra Orchard Dan Bolser Suzanna Lewis Data types and objects Data management bioinformatics, data Biologists bioinformaticians
Introduction to Biopython

This is a module from the "Python for Biologists" course. The module presents an introduction to Biopython. It shows how to deal with sequences and sequence records, how to download records from NCBI databases, how to run Blast and how to parse XML Blast outputs.

Keywords: Bioinformatics, Biopython, Programming, Python, Python biologists

Introduction to Biopython https://tess.elixir-europe.org/materials/introduction-to-biopython This is a module from the "Python for Biologists" course. The module presents an introduction to Biopython. It shows how to deal with sequences and sequence records, how to download records from NCBI databases, how to run Blast and how to parse XML Blast outputs. Bioinformatics, Biopython, Programming, Python, Python biologists Biologists Biologists, Genomicists, Computer Scientists bioinformaticians 2013-11-04 2017-10-09
Bioinformatics approaches to Identify causative sequence variants in farm animals

ALLBIO and DEANN Training course: 12-16 May 2014, SLU, Uppsala, Sweden The training is mainly intended for researchers that want or already use techniques like genome-wide SNP genotyping, candidate gene sequencing, transcriptome sequencing and other bioinformatics tools in their work to...

Keywords: Allbio, Farm animals, Qtl, Rnaseq, Transcription factors

Bioinformatics approaches to Identify causative sequence variants in farm animals https://tess.elixir-europe.org/materials/bioinformatics-approaches-to-identify-causative-sequence-variants-in-farm-animals ALLBIO and DEANN Training course: 12-16 May 2014, SLU, Uppsala, Sweden The training is mainly intended for researchers that want or already use techniques like genome-wide SNP genotyping, candidate gene sequencing, transcriptome sequencing and other bioinformatics tools in their work to elucidate the specific contributions of genetic and other factors in shaping the phenotypic variability in farm animals. Allbio, Farm animals, Qtl, Rnaseq, Transcription factors Biologists bioinformaticians geneticists 2014-11-17 2017-10-09
SV-Autopilot: the new face of Structural Variant Detection

Although there are many tools designed for structural variation (SV) analysis there has been no bench mark study to guide scientists in choosing the best tool for their particular data set. In this test case, AllBio Test Case 2 – Identification of Large Structural Variants, a researcher is eager...

Keywords: Ngs bioinformatics, Structural variations

SV-Autopilot: the new face of Structural Variant Detection https://tess.elixir-europe.org/materials/sv-autopilot-the-new-face-of-structural-variant-detection Although there are many tools designed for structural variation (SV) analysis there has been no bench mark study to guide scientists in choosing the best tool for their particular data set. In this test case, AllBio Test Case 2 – Identification of Large Structural Variants, a researcher is eager to identify large structural variants in multiple accessions of Arabidopsis. What is needed is a tool which can identify the type and quality of the sequencing reads, assemble them with regards to a reference genome, and predict large structural variants (>30nt). Lastly, it is desirable that the tool should have a user-friendly interface with which bench scientists can easily examine structural variants in their accession(s) of interest that need to be validated. Here we have not only created the benchmark data, but have also created a Virtual Machine framework that can automate this process using multiple SV prediction algorithms in parallel and refine the output to reduce false positive calls. We call this SV-AUTOPILOT, a Structural Variation AUTOmated PIpeLine Optimization Tool. This tool was tested by participants during the workshop. Link to SV-Autopilot: https://github.com/ALLBio/allbiotc2 Ngs bioinformatics, Structural variations Biologists bioinformaticians software developers, bioinformaticians 2014-09-10 2017-10-09
Using R with Python

This is a module from the "Python for Biologists" course. It describes the Python module interfacing the R package for statistics. The module shows how to calculate mean, standard deviation, z-score and p-value of a set of numbers, and how to generate plots. Input files for the scripts presented...

Keywords: Programming, Python, Python biologists

Using R with Python https://tess.elixir-europe.org/materials/using-r-with-python This is a module from the "Python for Biologists" course. It describes the Python module interfacing the R package for statistics. The module shows how to calculate mean, standard deviation, z-score and p-value of a set of numbers, and how to generate plots. Input files for the scripts presented are also provided. Programming, Python, Python biologists Biologists Biologists, Genomicists, Computer Scientists beginner bioinformaticians bioinformaticians 2013-11-04 2017-10-09
Bioinformatics for Mass spectrometry analysis

This tutorial on Bioinformatics for Mass spectrometry analysis was part of a full series of tutorials that I have organised in 2009 while sitting in the Educational Committee of the European Proteomics Association (EuPA). Some information on bioinformatics tools would need to be verified, but the...

Keywords: Bioinformatics, Mass spectrometry, Protein identification

Bioinformatics for Mass spectrometry analysis https://tess.elixir-europe.org/materials/bioinformatics-for-mass-spectrometry-analysis This tutorial on Bioinformatics for Mass spectrometry analysis was part of a full series of tutorials that I have organised in 2009 while sitting in the Educational Committee of the European Proteomics Association (EuPA). Some information on bioinformatics tools would need to be verified, but the core of slides is still up to date. It introduces the basic ideas behind mass spectrometry and bioinformatics for protein identification from mass spectrometry data. Bioinformatics, Mass spectrometry, Protein identification Bench biologists PhD students Post-Doctoral Fellows Technicians bioinformaticians master 2013-10-30 2017-10-09
Linear Motifs and Phosphorylation Sites

This is a lecture on linear motifs and phophorylation sites (P-sites). Some materials from other lectures are reused. The lecture is basically about computational approaches to encode, predict, analyse, and use functional motifs and P-sites. Here you can find: A definition of linear motifs and...

Keywords: Bioinformatics

Linear Motifs and Phosphorylation Sites https://tess.elixir-europe.org/materials/linear-motifs-and-phosphorylation-sites This is a lecture on linear motifs and phophorylation sites (P-sites). Some materials from other lectures are reused. The lecture is basically about computational approaches to encode, predict, analyse, and use functional motifs and P-sites. Here you can find: A definition of linear motifs and P-sites Computational methods to identify them How you can represent and use them Resources and tools to deal with them Bioinformatics Biologists biocurators bioinformaticians 2013-07-16 2017-10-09
Next Generation Sequencing (NGS) wikibook

Next generation sequencing (NGS) has become a commodity. With the commercialization of various affordable desktop sequencers, NGS will be of reach by more traditional wet-lab biologists . As seen in recent years, genome-wide scale computational analysis is increasingly being used as a backbone to...

Keywords: Bioinformatics, Next generation sequencing, Ngs

Next Generation Sequencing (NGS) wikibook https://tess.elixir-europe.org/materials/next-generation-sequencing-ngs-wikibook Next generation sequencing (NGS) has become a commodity. With the commercialization of various affordable desktop sequencers, NGS will be of reach by more traditional wet-lab biologists . As seen in recent years, genome-wide scale computational analysis is increasingly being used as a backbone to foster novel discovery in biomedical research. However, as the quantities of sequence data increase exponentially, the analysis bottle-neck is yet to be solved. The current sources for NGS informatics are extremely fragmented. A novice could read review articles in various journals, follow discussion threads on forums such as Biostar[1] or SEQanswers [2], or sign up for courses organized by various institutes. Finding a centralized synthesis is much more difficult. Books are available, but the development of the field is so fast that book chapters risk being obsoleted by the time they are even printed. Moreover, cost for a handful of authors to continually update their text would presumably take up a lot of their schedule. Drawing from the obvious goodwill and community spirit displayed on discussion forums, and exploiting the collaborative tools made available by the Wikimedia foundation, we propose to initiate the editing of a collaborative WikiBook on NGS. Our plan is to collect a sufficient amount of text that people will be incentivized to contribute to it, essentially providing the same information as a forum but in a tidier form. Ultimately, our goal is to create a collective lab book that explains the key concepts and describes best practices in NGS. Parnell LD, Lindenbaum P, Shameer K et al. BioStar: an online question & answer resource for the bioinformatics community, PLoS Comput Biol 2011;7:e1002216. Li JW, Schmieder R, Ward RM et al. SEQanswers: an open access community for collaboratively decoding genomes, Bioinformatics 2012;28:1272-1273 Join this initiative now and contribute to further expand and improve the contents and case studies in the NGS wikibook! Read about this initiative and the nine rules for NGS data analysis here: The NGS WikiBook: a dynamic collaborative online training effort with long-term sustainability Bioinformatics, Next generation sequencing, Ngs Biologists bioinformaticians computational scientists 2013-07-15 2017-10-09
BioJS

BioJS is a library of graphical components easy to reuse to represent biological information

Keywords: Bioinformatics, Javascript

BioJS https://tess.elixir-europe.org/materials/biojs BioJS is a library of graphical components easy to reuse to represent biological information Bioinformatics, Javascript bioinformaticians web developers 2013-07-11 2017-10-09
Parsing data records using Python programming

This is a module from the "Python for Biologists" course. One typical problem in bioinformatics is parsing data files. This module explains how to parse FASTA files and GenBank records. It also introduces the if/elif/else construct to make choice in programming and the list  data structure. The...

Keywords: Bioinformatics, Programming, Python, Python biologists, Record parsing

Parsing data records using Python programming https://tess.elixir-europe.org/materials/parsing-data-records-using-python-programming This is a module from the "Python for Biologists" course. One typical problem in bioinformatics is parsing data files. This module explains how to parse FASTA files and GenBank records. It also introduces the if/elif/else construct to make choice in programming and the list  data structure. The text of exercises is provided in a separate file.  Bioinformatics, Programming, Python, Python biologists, Record parsing Biologists beginner bioinformaticians bioinformaticians programmers 2013-07-05 2017-10-09