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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://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. 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://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://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://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. 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://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://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://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. 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://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://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

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Operations: Annotation

Working with Ranges infrastructure: annotating and understanding regions https://tess.elixir-europe.org/materials/working-with-ranges-infrastructure-annotating-and-understanding-regions Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.
High-throughput sequencing: Alignment and related topic

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Scientific topics: RNA-Seq

High-throughput sequencing: Alignment and related topic https://tess.elixir-europe.org/materials/high-throughput-sequencing-alignment-and-related-topic Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. RNA-Seq
Gene set enrichment analysis

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Operations: Gene-set enrichment analysis

Gene set enrichment analysis https://tess.elixir-europe.org/materials/gene-set-enrichment-analysis Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.
Analysis of RNA-Seq Data

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Scientific topics: RNA-Seq

Analysis of RNA-Seq Data https://tess.elixir-europe.org/materials/analysis-of-rna-seq-data Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. RNA-Seq
eQTL / molecular-QTL analyses

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Keywords: eQTL / molecular-QTL

eQTL / molecular-QTL analyses https://tess.elixir-europe.org/materials/eqtl-molecular-qtl-analyses Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. eQTL / molecular-QTL
Integrated pathway analysis of multiple omics datasets

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Keywords: Pathway

Integrated pathway analysis of multiple omics datasets https://tess.elixir-europe.org/materials/integrated-pathway-analysis-of-multiple-omics-datasets Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. Pathway
Meta-analysis of genomics experiments using Bioconductor

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Keywords: Meta-analysis

Meta-analysis of genomics experiments using Bioconductor https://tess.elixir-europe.org/materials/meta-analysis-of-genomics-experiments-using-bioconductor Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. Meta-analysis
Proteomics

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Scientific topics: Proteomics

Proteomics https://tess.elixir-europe.org/materials/proteomics Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. Proteomics
Genetics of gene expression: computation and integrative prediction

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Keywords: eQTL

Genetics of gene expression: computation and integrative prediction https://tess.elixir-europe.org/materials/genetics-of-gene-expression-computation-and-integrative-prediction Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. eQTL
R / Bioconductor packages for Proteomics

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Scientific topics: Proteomics

R / Bioconductor packages for Proteomics https://tess.elixir-europe.org/materials/r-bioconductor-packages-for-proteomics Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. Proteomics
ChIP-seq Analysis

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Scientific topics: ChIP-seq

ChIP-seq Analysis https://tess.elixir-europe.org/materials/chip-seq-analysis-a09e63fd-d145-4eb1-af5b-30127d21f15e Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. ChIP-seq
Visualisation and assessment of ChIP-seq quality using ChIPQC and Diffbind packages

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Scientific topics: ChIP-seq

Visualisation and assessment of ChIP-seq quality using ChIPQC and Diffbind packages https://tess.elixir-europe.org/materials/visualisation-and-assessment-of-chip-seq-quality-using-chipqc-and-diffbind-packages Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. ChIP-seq
Analysis of 450k methylation data with the minfi package

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Operations: Methylation analysis

Analysis of 450k methylation data with the minfi package https://tess.elixir-europe.org/materials/analysis-of-450k-methylation-data-with-the-minfi-package Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.
DNA-Seq 1: Variant calling

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Scientific topics: Sequencing

DNA-Seq 1: Variant calling https://tess.elixir-europe.org/materials/dna-seq-1-variant-calling Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. Sequencing
DNA-Seq 2: visualisation and quality assessment of variant calls

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Scientific topics: Sequencing

DNA-Seq 2: visualisation and quality assessment of variant calls https://tess.elixir-europe.org/materials/dna-seq-2-visualisation-and-quality-assessment-of-variant-calls Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. Sequencing
CRISPRseek: Design of target-specific guide RNAs in CRISPR-Cas9 genome-editing systems

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Scientific topics: RNA-Seq

CRISPRseek: Design of target-specific guide RNAs in CRISPR-Cas9 genome-editing systems https://tess.elixir-europe.org/materials/crisprseek-design-of-target-specific-guide-rnas-in-crispr-cas9-genome-editing-systems Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. RNA-Seq
Visualization of Genomic Data

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Scientific topics: RNA-Seq

Visualization of Genomic Data https://tess.elixir-europe.org/materials/visualization-of-genomic-data Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. RNA-Seq
RNA-Seq 3: alternative exon usage

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Scientific topics: RNA-Seq

RNA-Seq 3: alternative exon usage https://tess.elixir-europe.org/materials/rna-seq-3-alternative-exon-usage Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. RNA-Seq
RNA-Seq 1: differential expression analysis - GLMs and testing

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Scientific topics: RNA-Seq

RNA-Seq 1: differential expression analysis - GLMs and testing https://tess.elixir-europe.org/materials/rna-seq-1-differential-expression-analysis-glms-and-testing Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. RNA-Seq
Work flows : RNA-Seq

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Scientific topics: RNA-Seq

Work flows : RNA-Seq https://tess.elixir-europe.org/materials/work-flows-rna-seq Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. RNA-Seq
Analysis of RNA-Seq using the DESeq2 package

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an...

Scientific topics: RNA-Seq

Analysis of RNA-Seq using the DESeq2 package https://tess.elixir-europe.org/materials/analysis-of-rna-seq-using-the-deseq2-package Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 1560 software packages, and an active user community. Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images. RNA-Seq