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Content provider: GOBLET 

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Keywords: Exploratory-analysis  or metagenomics  or Chip-seq  or Systems  or Sequence alignment  or Ngs 


Using Bioinformatics to Understand Genetic Diseases: A Practical Guide

This Practical Guide in the Bringing Bioinformatics into the Classroom series outlines a number of basic bioinformatics approaches that can be used to understand the molecular basis of genetic diseases. A rare variation in the insulin gene is discussed, and the impact of the variation on the gene...

Keywords: Basic bioinformatics, Bioinformatics schools, Gene finding, Genetic mutation, Insulin structure, Sequence alignment, Sequence database searching, Training material

Using Bioinformatics to Understand Genetic Diseases: A Practical Guide https://tess.elixir-europe.org/materials/using-bioinformatics-to-understand-genetic-diseases-a-practical-guide This Practical Guide in the Bringing Bioinformatics into the Classroom series outlines a number of basic bioinformatics approaches that can be used to understand the molecular basis of genetic diseases. A rare variation in the insulin gene is discussed, and the impact of the variation on the gene product, and how this results in disease, is explored. Specifically, this Guide introduces a range of commonly used bioinformatics tools and databases with which to analyse both DNA and protein sequences, and protein structures. On reading the Guide and completing the exercises, users will be able to: i) investigate the locations of genes on the human genome using a genome browser; ii) compare DNA sequences using an alignment tool; iii) translate a DNA sequence into its protein product; iv) search a protein structure database, and visualise the 3D structure of insulin; and v) infer whether insulin is specific to humans by using protein sequence database search tools. Basic bioinformatics, Bioinformatics schools, Gene finding, Genetic mutation, Insulin structure, Sequence alignment, Sequence database searching, Training material 2019-03-18
EMBL-EBI Train Online

If you work in the life sciences, you may find that you’re spending less time doing experiments and more time analysing huge amounts of biological data. Train online is here to help you do this quickly and efficiently.

Scientific topics: Bioinformatics

Keywords: Bioinformatics, Chemical biology, Cross domain, Dna rna, Gene expression, Literature, Ontologies, Proteins, Structures, Systems

EMBL-EBI Train Online https://tess.elixir-europe.org/materials/embl-ebi-train-online If you work in the life sciences, you may find that you’re spending less time doing experiments and more time analysing huge amounts of biological data. Train online is here to help you do this quickly and efficiently. Bioinformatics Bioinformatics, Chemical biology, Cross domain, Dna rna, Gene expression, Literature, Ontologies, Proteins, Structures, Systems Beginner informatics Life sciences 2018-05-11
RNA-seq data analysis: from raw reads to differentially expressed genes

This course material introduces the central concepts, analysis steps and file formats in RNA-seq data analysis. It covers the analysis from quality control to differential expression detection, and workflow construction and several data visualizations are also practised. The material consists of...

Scientific topics: Sequencing, RNA, Data architecture, analysis and design, Bioinformatics

Keywords: Bioinformatics, Differential expression, Ngs, Rna seq

RNA-seq data analysis: from raw reads to differentially expressed genes https://tess.elixir-europe.org/materials/rna-seq-data-analysis-from-raw-reads-to-differentially-expressed-genes This course material introduces the central concepts, analysis steps and file formats in RNA-seq data analysis. It covers the analysis from quality control to differential expression detection, and workflow construction and several data visualizations are also practised. The material consists of 10-30 minute lectures intertwined with hands-on exercises, and it can be accomplished in a day. As the user-friendly Chipster software is used in the exercises, no prior knowledge of R/Bioconductor or Unix ir required, and the course is thus suitable for everybody. Our book RNA-seq data analysis: A practical approach (CRC Press) can be used as background reading. The following topics and analysis tools are covered: 1. Introduction to the Chipster analysis platform 2. Quality control of raw reads (FastQC, PRINSEQ) 3. Preprocessing (Trimmomatic, PRINSEQ) 4. Alignment to reference genome (TopHat2) 5. Alignment level quality control (RseQC) 6. Quantitation (HTSeq) 7. Experiment level quality control with PCA and MDS plots 8. Differential expression analysis (DESeq2, edgeR) -normalization -dispersion estimation -statistical testing -controlling for batch effects, multifactor designs -filtering -multiple testing correction 9. Visualization of reads and results -genome browser -Venn diagram -volcano plot -plotting normalized counts for a gene -expression profiles 10. Experimental design Sequencing RNA Data architecture, analysis and design Bioinformatics Bioinformatics, Differential expression, Ngs, Rna seq Bench biologists Life Science Researchers 2015-12-04 2017-10-09
TGAC_SeqAhead: NGS current challenges and data analysis for plant researchers

Hands on course held at TGAC (http://www.tgac.ac.uk/) on Monday 19 to Friday 23 May 2014 What is this workshop about? The course will combine lectures and led discussions to identify key challenges, opportunities and bottlenecks, with practical session on: Automated and standardized data...

Scientific topics: Sequence analysis, Plant biology, Database management, Bioinformatics

Keywords: Ngs, Ngs bioinformatics, Plants bioinformatics

TGAC_SeqAhead: NGS current challenges and data analysis for plant researchers https://tess.elixir-europe.org/materials/tgac_seqahead-ngs-current-challenges-and-data-analysis-for-plant-researchers Hands on course held at TGAC (http://www.tgac.ac.uk/) on Monday 19 to Friday 23 May 2014 What is this workshop about? The course will combine lectures and led discussions to identify key challenges, opportunities and bottlenecks, with practical session on: Automated and standardized data analysis for plant species data Data quality checks Estimation of reproducibility Batch effects Statistical concepts Importance of standards Data formats Data integration What will I learn? To discuss and reflect on best practice of experimental design and control for using NGS technologies in their context of addressing biological questions Identify key challenges, opportunities and bottlenecks Offering a platform for discussion and exploration of the challenges in plant research with a particular emphasis for agri-bioinformatics Sequence analysis Plant biology Database management Bioinformatics Ngs, Ngs bioinformatics, Plants bioinformatics PhD students plant researchers post-docs 2015-06-22 2017-10-09
Introduction to Multiple Sequence Alignments (MSAs) and Phylogenies

Slides used for teaching an introduction to phylogenies and MSAs in the context of phylogenies for the first day of a two-day course on MSAs at Cambridge University, in the UK, in December 2013. Course taught together with Holger Dinkel and Terri Attwood.

Keywords: Molecular evolution, Multiple sequence alignment, Phylogenetics, Protein sequence analysis, Sequence alignment

Introduction to Multiple Sequence Alignments (MSAs) and Phylogenies https://tess.elixir-europe.org/materials/introduction-to-multiple-sequence-alignments-msas-and-phylogenies Slides used for teaching an introduction to phylogenies and MSAs in the context of phylogenies for the first day of a two-day course on MSAs at Cambridge University, in the UK, in December 2013. Course taught together with Holger Dinkel and Terri Attwood. Molecular evolution, Multiple sequence alignment, Phylogenetics, Protein sequence analysis, Sequence alignment Bench biologists Post-Doctoral Fellows Postgraduate students principle investigators 2013-12-19 2017-10-09
Sequence comparison - undergraduate lab

This is lab 2 in a series of labs developed as part of a "bioinformatics for biology undergraduates" course and targeted at 2nd and 3rd year undergraduates. It is meant to be easily assessible. The lab includes some instructions that are specific to our computer lab environment but the content of...

Keywords: Dotmatrix plots, Scoring matrices, Sequence alignment

Sequence comparison - undergraduate lab https://tess.elixir-europe.org/materials/sequence-comparison-undergraduate-lab This is lab 2 in a series of labs developed as part of a "bioinformatics for biology undergraduates" course and targeted at 2nd and 3rd year undergraduates. It is meant to be easily assessible. The lab includes some instructions that are specific to our computer lab environment but the content of the lab should be easy to adapt to other environments. This lab makes use of EMBOSS programs, prss in the FASTA package, as well as the NCBI BLAST website. I usually deliver this lab after a series of lectures discussing dotmatrix plots and sequence alignment. Students enter their answers to the questions into a quiz set up within moodle which allows for easier marking. Dotmatrix plots, Scoring matrices, Sequence alignment Undergraduate students 2013-11-12 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