TeSS Training eSupport System

MATHEMATICS BOOT CAMP: Introduction to Complex Systems Tools

This repository contains didactic material used in an introductory course of mathematics at the Center for Complex Systems and Brain Sciences in Florida Atlantic University by Viktor K. Jirsa.

Scientific topics: Computational biology, Mathematics

Keywords: ComputationalBiology, Neuroscience, complex systems, Mathematics

Resource type: Notes, Scripts

MATHEMATICS BOOT CAMP: Introduction to Complex Systems Tools https://github.com/vjirsa/bootcamp https://tess.elixir-europe.org/materials/mathematics-boot-camp-introduction-to-complex-systems-tools This repository contains didactic material used in an introductory course of mathematics at the Center for Complex Systems and Brain Sciences in Florida Atlantic University by Viktor K. Jirsa. Viktor Jistra Felix Almonte Collins Assisi Frederick Carver Gautam Vallabha Jaime Morris Ajay Pillai Armin Fuchs Computational biology Mathematics ComputationalBiology, Neuroscience, complex systems, Mathematics Undergraduate students

Plant Bioinformatics

The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of "-seq"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply...

Keywords: life-sciences, health-informatics

Plant Bioinformatics https://www.coursera.org/learn/plant-bioinformatics https://tess.elixir-europe.org/materials/plant-bioinformatics The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of "-seq"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply and in a high-throughput manner. These data sets in turn allow us to generate hypotheses at the click of a mouse. For instance, knowing where and when a gene is expressed can help us narrow down the phenotypic search space when we don't see a phenotype in a gene mutant under "normal" growth conditions. Coexpression analyses and association networks can provide high-quality candidate genes involved in a biological process of interest. Using Gene Ontology enrichment analysis and pathway visualization tools can help us make sense of our own 'omics experiments and answer the question "what processes/pathways are being perturbed in our mutant of interest?" Structure: each of the 6 week hands-on modules consists of a ~2 minute intro, a ~20 minute theory mini-lecture, a 1.5 hour hands-on lab, an optional ~20 minute lab discussion if experiencing difficulties with lab, and a ~2 minute summary. Tools covered: Module 1: GENOMIC DBs / PRECOMPUTED GENE TREES / PROTEIN TOOLS. Araport, TAIR, Gramene, EnsemblPlants Compara, PLAZA; SUBA4 and Cell eFP Browser, 1001 Genomes Browser Module 2: EXPRESSION TOOLS. eFP Browser / eFP-Seq Browser, Araport, Genevestigator, TravaDB, NCBI Genome Data Viewer for exploring RNA-seq data for many plant species other than Arabidopsis, MPSS database for small RNAs Module 3: COEXPRESSION TOOLS. ATTED II, Expression Angler, AraNet, AtCAST2 Module 4: PROMOTER ANALYSIS. Cistome, Athena, ePlant Module 5: GO ENRICHMENT ANALYSIS AND PATHWAY VIZUALIZATION. AgriGO, AmiGO, Classification SuperViewer, TAIR, g:profiler, AraCyc, MapMan (optional: Plant Reactome) Module 6: NETWORK EXPLORATION. Arabidopsis Interactions Viewer 2, ePlant, TF2Network, Virtual Plant, GeneMANIA life-sciences, health-informatics

A network biology workflow to study transcriptomics data of the diabetic liver

Description of a network biology workflow for pathway and network analysis methods to study the rewiring of the diabetic liver.

Keywords: Biological networks, Network Visualization

A network biology workflow to study transcriptomics data of the diabetic liver https://bmcgenomics.biomedcentral.com/articles/10.1186/1471-2164-15-971 https://tess.elixir-europe.org/materials/a-network-biology-workflow-to-study-transcriptomics-data-of-the-diabetic-liver Description of a network biology workflow for pathway and network analysis methods to study the rewiring of the diabetic liver. Susan Coort Martina Kutmon Chris Evelo Biological networks, Network Visualization

Learning structural bioinformatics and evolution with a snake puzzle

We propose here a working unit for teaching basic concepts of structural bioinformatics and evolution through the example of a wooden snake puzzle, strikingly similar to toy models widely used in the literature of protein folding.

Scientific topics: Protein structure analysis, Molecular biology, Evolutionary biology, Bioinformatics

Resource type: course materials

Learning structural bioinformatics and evolution with a snake puzzle https://peerj.com/articles/cs-100/ https://tess.elixir-europe.org/materials/learning-structural-bioinformatics-and-evolution-with-a-snake-puzzle We propose here a working unit for teaching basic concepts of structural bioinformatics and evolution through the example of a wooden snake puzzle, strikingly similar to toy models widely used in the literature of protein folding. Gonzalo S. Nido Ludovica Bachschmid-Romano Ugo Bastolla Alberto Pascual-García Protein structure analysis Molecular biology Evolutionary biology Bioinformatics Master students Undergraduate students

RRegrs package

This tutorial explains how to use a collection of R regression tools for estimating the optimal model via a fully validated procedure.

Keywords: Regression Models

RRegrs package https://enanomapper.github.io/tutorials/RRegrs/RRegrs.html https://tess.elixir-europe.org/materials/rregrs-package This tutorial explains how to use a collection of R regression tools for estimating the optimal model via a fully validated procedure. Regression Models PhD students post-docs

How to use the AffyQC web tool of ArrayAnalysis.org for quality control and pre-processing of Affymetrix microarray data

This tutorial explains how to use the AffyQC web tool of ArrayAnalysis.org for quality control and pre-processing of Affymetrix microarray data.

Keywords: Microarray data analysis, Quality control and data pre-processing, Affymetrix microarrays, Systems biology, Pathway and network analyis

How to use the AffyQC web tool of ArrayAnalysis.org for quality control and pre-processing of Affymetrix microarray data https://enanomapper.github.io/tutorials/QCandpreprocessing/QCandpreprocessing.html https://tess.elixir-europe.org/materials/how-to-use-the-affyqc-web-tool-of-arrayanalysis-org-for-quality-control-and-pre-processing-of-affymetrix-microarray-data This tutorial explains how to use the AffyQC web tool of ArrayAnalysis.org for quality control and pre-processing of Affymetrix microarray data. Microarray data analysis, Quality control and data pre-processing, Affymetrix microarrays, Systems biology, Pathway and network analyis PhD students post-docs

How to use the statistics module of ArrayAnalysis.org for statistics analysis of microarray data

This tutorial how to statistically analyze microarray data with ArrayAnalysis.org website.

Keywords: ArrayAnalysis.org, microarray

How to use the statistics module of ArrayAnalysis.org for statistics analysis of microarray data https://enanomapper.github.io/tutorials/Statistics/readme.html https://tess.elixir-europe.org/materials/how-to-use-the-statistics-module-of-arrayanalysis-org-for-statistics-analysis-of-microarray-data This tutorial how to statistically analyze microarray data with ArrayAnalysis.org website. Anwesha Bohler Egon Willighagen Friederike Ehrhart Lars Eijssen Linda Rieswijk Penny Nymark ArrayAnalysis.org, microarray post-docs

How to make a new pathway for WikiPathways using PathVisio

This tutorial explains how to a new pathway for WikiPathways using PathVisio.

Keywords: Systems biology, Pathway analysis, Network analysis, Microarray data analysis, Nanomaterials

How to make a new pathway for WikiPathways using PathVisio https://enanomapper.github.io/tutorials/Pathway/Pathway.html https://tess.elixir-europe.org/materials/how-to-make-a-new-pathway-for-wikipathways-using-pathvisio This tutorial explains how to a new pathway for WikiPathways using PathVisio. Systems biology, Pathway analysis, Network analysis, Microarray data analysis, Nanomaterials PhD students post-docs

Omics descriptors calculation R package

This tutorial explains how to generate a new set of GO descriptors using two novel created R packages.

Keywords: Gene Ontology

Omics descriptors calculation R package https://enanomapper.github.io/tutorials/Omics%20descriptors%20calculation/Omics%20descriptors%20calculation%20R%20package.html https://tess.elixir-europe.org/materials/omics-descriptors-calculation-r-package This tutorial explains how to generate a new set of GO descriptors using two novel created R packages. Gene Ontology PhD students post-docs

Working with Ranges infrastructure: annotating and understanding regions