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Content provider: GOBLET 

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Keywords: Exploratory-analysis  or metagenomics  or Flow cytometry data  or Expression-estimation  or Blast 


STAO 2014 Understanding a genetic disease thanks to Bioinformatics

This workshop allows to discover several bioinformatics tools and databases (genome browser, alignment tool, BLAST, dbSNP, UniProtKB, PDB) in the context of the discovery of a rare variant leading to the production of a non functional insulin in a Norwegian family. Additional documents are ...

Keywords: Blast, Genome browsing, Introduction bioinformatics, Protein structure visualisation, Variant detection

STAO 2014 Understanding a genetic disease thanks to Bioinformatics https://tess.elixir-europe.org/materials/stao-2014-understanding-a-genetic-disease-thanks-to-bioinformatics This workshop allows to discover several bioinformatics tools and databases (genome browser, alignment tool, BLAST, dbSNP, UniProtKB, PDB) in the context of the discovery of a rare variant leading to the production of a non functional insulin in a Norwegian family. Additional documents are available: http://education.expasy.org/cours/Toronto Blast, Genome browsing, Introduction bioinformatics, Protein structure visualisation, Variant detection high school 2014-11-10 2017-10-09
QuickGuides

A range of Quick Guides to commonly used bioinformatics tools and resources.

Keywords: Blast, Emboss, Mysql, Perl, Phylip, Unixlinux, Velvet

QuickGuides https://tess.elixir-europe.org/materials/quickguides A range of Quick Guides to commonly used bioinformatics tools and resources. Blast, Emboss, Mysql, Perl, Phylip, Unixlinux, Velvet Beginners 2014-07-31 2017-10-09
BLAST and multiple sequence alignment (MSA) programs

Background The rapid identification of pathogens infecting livestock is essential to appropriately respond to the threat. The number and the variety of pathogen sequenced genomes have been growing more dramatically these recent years, because of the new sequencing technologies. This wealth of...

Keywords: Blast, E learning, Multiple sequence alignment

BLAST and multiple sequence alignment (MSA) programs https://tess.elixir-europe.org/materials/blast-and-multiple-sequence-alignment-msa-programs Background The rapid identification of pathogens infecting livestock is essential to appropriately respond to the threat. The number and the variety of pathogen sequenced genomes have been growing more dramatically these recent years, because of the new sequencing technologies. This wealth of new data is very useful to the research field through the development of bioinformatics tools and databases that deal with large amount of sequences. Among them, BLAST (Basic Local Alignment Search Tool) and MSA () programs are very efficient for protein or nucleotide sequence similarity search. The present course introduces the main biological databases, alignment tool BLAST and Multiple sequence alignments (MSA) programs, and interpretation of results. Goal The ultimate aim is the better management of animal diseases by preparing laboratory technicians, veterinarians and molecular epidemiologists from diagnostic and research laboratories of developing FAO and IAEA member states, to be self-sufficient in the data analysis by interpreting the phylogenetic trees and their relationships. Target audience Researchers, Laboratory technicians, veterinarians, epidemiologists from diagnostic and research laboratories of member states of IAEA and FAO. The concepts are explained in generalized way to help all academicians, researchers, students from all countries working in the field of molecular genetics and epidemiology. AuthorsViral-zone, Swiss-Prot group at the SIB Swiss Institute of Bioinformatics   Blast, E learning, Multiple sequence alignment Bench biologists Biologists Laboratory technicians Researchers Veterinarians 2014-04-28 2017-10-09
Similarity searching, multiple sequence alignment and protein families - undergraduate lab

Lab 3 in a series of labs given as part of a "bioinformatics for biologists" course targeted at 2nd/3rd year undergraduates and focusing on informed use of tools. Some instructions are specific to our local computer lab setup but overall the content should be adaptable. Note that because some of...

Keywords: Blast, Hmmer, Interpro, Multiple sequence alignment, Similarity searching

Similarity searching, multiple sequence alignment and protein families - undergraduate lab https://tess.elixir-europe.org/materials/similarity-searching-multiple-sequence-alignment-and-protein-families-undergraduate-lab Lab 3 in a series of labs given as part of a "bioinformatics for biologists" course targeted at 2nd/3rd year undergraduates and focusing on informed use of tools. Some instructions are specific to our local computer lab setup but overall the content should be adaptable. Note that because some of the exercises make use of public databases they need to be checked and in some cases updated every time the lab is run. The lab is meant to be easily assessed using an online quiz (I use moodle). I provides a hands on introduction to NCBI BLAST, Interproscan, Clustal, MUSCLE and T-COFFEE, and HMMER.  Blast, Hmmer, Interpro, Multiple sequence alignment, Similarity searching biology and bioinformatics sophomore undergraduates 2013-11-12 2017-10-09
Flow Cytometry 2013 Module 4 - 1D Static gating

How to create a constant gate for the whole data set for one channel by first creating a sample representative of the whole data set How to apply a static gate to all samples and count the proportions of cells lying on either side of the gate Visualizing the proportions using a density...

Keywords: 1d static gating, Flow cytometry data

Flow Cytometry 2013 Module 4 - 1D Static gating https://tess.elixir-europe.org/materials/flow-cytometry-2013-module-4-1d-static-gating How to create a constant gate for the whole data set for one channel by first creating a sample representative of the whole data set How to apply a static gate to all samples and count the proportions of cells lying on either side of the gate Visualizing the proportions using a density plot, histogram, bean/violin plot Automating a sequential gating strategy in R to obtain cell proportions for a desired phenotype 1d static gating, Flow cytometry data 2013-06-26 2017-10-09
Flow Cytometry 2013 Module 6 - Clustering and Additional FCM Tools

Lecture on FlowCAP (Flow Cytometry: Critical Assessment of Population Identification Methods) project K-means explained flowMeans: smart k-means for FCM data flowClust3.0, SPADE, flowBin, flowFP, SamSPECTRAL clustering Biomarker discovery: flowType and RchyOptimyx, advanced tools used...

Keywords: Biomarker discovery, Flow cytometry data, Flowcap

Flow Cytometry 2013 Module 6 - Clustering and Additional FCM Tools https://tess.elixir-europe.org/materials/flow-cytometry-2013-module-6-clustering-and-additional-fcm-tools Lecture on FlowCAP (Flow Cytometry: Critical Assessment of Population Identification Methods) project K-means explained flowMeans: smart k-means for FCM data flowClust3.0, SPADE, flowBin, flowFP, SamSPECTRAL clustering Biomarker discovery: flowType and RchyOptimyx, advanced tools used to explore novel phenotypes and find ones which correlate with a clinical diagnosis More R: Bioconductor.org, an open source software project full of bioinformatics packages created for R, including sample work flows GenePattern.org: web-interface for running analysis modules such as sample deidentication, extracting specic keywords, quality control, normalization, clustering, classification FlowRepository.org: online FCM data repository to share public or private data sets with collaborators while providing detailed descriptions of the experiment set up and each FCS file Biomarker discovery, Flow cytometry data, Flowcap 2013-06-26 2017-10-09
Flow Cytometry 2013 Module 5 - 1D Dynamic gating

Using quantiles to set a gate based on a negative control Using median and standard deviation to set a gate based on a negative control Exploring rangeGate: an automated way to set a 1D gate for each sample individually Recording proportions of cells in subpopulations of interest by...

Keywords: 1d dynamic gating, Flow cytometry data

Flow Cytometry 2013 Module 5 - 1D Dynamic gating https://tess.elixir-europe.org/materials/flow-cytometry-2013-module-5-1d-dynamic-gating Using quantiles to set a gate based on a negative control Using median and standard deviation to set a gate based on a negative control Exploring rangeGate: an automated way to set a 1D gate for each sample individually Recording proportions of cells in subpopulations of interest by creating a spreadsheet file Recording a visual record of the gating results by creating JPEG image files 1d dynamic gating, Flow cytometry data 2013-06-26 2017-10-09
Flow Cytometry 2013 Module 3 - Preprocessing and Quality Assurance of FCM Data

Preprocessing Removing margin events Data transformation: log vs. biexponential Data normalization Quality Assurance Overview of quality assurance concepts: total raw/viable cell count, margin event count, outlier detection based on density of common...

Keywords: Flow cytometry data, Preprocessing, Quality assurance

Flow Cytometry 2013 Module 3 - Preprocessing and Quality Assurance of FCM Data https://tess.elixir-europe.org/materials/flow-cytometry-2013-module-3-preprocessing-and-quality-assurance-of-fcm-data Preprocessing Removing margin events Data transformation: log vs. biexponential Data normalization Quality Assurance Overview of quality assurance concepts: total raw/viable cell count, margin event count, outlier detection based on density of common parameters Building quality assurance objects using flowQ and generating summary HTML reports Flow cytometry data, Preprocessing, Quality assurance 2013-06-26 2017-10-09