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15 materials found

Authors: allegra.via Via  or joachimwolff 


Genome Annotation - Genome Annotation

Genome annotation is a multi-level process that includes prediction of protein-coding genes, as well as other functional genome units such as structural RNAs, tRNAs, small RNAs, pseudogenes, control regions, direct and inverted repeats, insertion sequences, transposons and other mobile elements.

Resource type: Tutorial

Genome Annotation - Genome Annotation http://tess.elixir-uk.org/materials/genome-annotation-genome-annotation Genome annotation is a multi-level process that includes prediction of protein-coding genes, as well as other functional genome units such as structural RNAs, tRNAs, small RNAs, pseudogenes, control regions, direct and inverted repeats, insertion sequences, transposons and other mobile elements.
Epigenetics - Hi-C analysis of Drosophila melanogaster cells using HiCExplorer

DNA methylation is an epigenetic mechanism used by higher eukaryotes and involved in e.g. gene expression, X-Chromosome inactivating, imprinting, and gene silencing of germline specific gene and repetitive elements. Questions of the tutorial: - Why is a Hi-C analysis useful? - What is...

Resource type: Tutorial

Epigenetics - Hi-C analysis of Drosophila melanogaster cells using HiCExplorer http://tess.elixir-uk.org/materials/epigenetics-hi-c-analysis-of-drosophila-melanogaster-cells-using-hicexplorer DNA methylation is an epigenetic mechanism used by higher eukaryotes and involved in e.g. gene expression, X-Chromosome inactivating, imprinting, and gene silencing of germline specific gene and repetitive elements. Questions of the tutorial: - Why is a Hi-C analysis useful? - What is 'chromosome conformation capture'? - What are main steps in order to generate and plot a Hi-C contact matrix?
Introduction to Galaxy Analyses - IGV Introduction

Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience.

Resource type: Tutorial

Introduction to Galaxy Analyses - IGV Introduction http://tess.elixir-uk.org/materials/galaxy-introduction-igv-introduction Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience.
ChIP-Seq data analysis - Identification of the binding sites of the T-cell acute lymphocytic leukemia protein 1 (TAL1)

ChIP-sequencing is a method used to analyze protein interactions with DNA. Questions of the tutorial: - How is raw ChIP-seq data processed and analyzed? - What are the binding sites of Tal1? - Which genes are regulated by Tal1? Objectives of the tutorial: - Inspect read quality with FastQC -...

Resource type: Tutorial

ChIP-Seq data analysis - Identification of the binding sites of the T-cell acute lymphocytic leukemia protein 1 (TAL1) http://tess.elixir-uk.org/materials/chip-seq-data-analysis-identification-of-the-binding-sites-of-the-t-cell-acute-lymphocytic-leukemia-protein-1-tal1 ChIP-sequencing is a method used to analyze protein interactions with DNA. Questions of the tutorial: - How is raw ChIP-seq data processed and analyzed? - What are the binding sites of Tal1? - Which genes are regulated by Tal1? Objectives of the tutorial: - Inspect read quality with FastQC - Perform read trimming with Trimmomatic - Align trimmed reads with BWA - Assess quality and reproducibility of experiments - Identify Tal1 binding sites with MACS2 - Determine unique/common Tal1 binding sites from G1E and Megakaryocytes - Identify unique/common Tal1 peaks occupying gene promoters - Visually inspect Tal1 peaks with Trackster
Epigenetics - DNA Methylation data analysis

DNA methylation is an epigenetic mechanism used by higher eukaryotes and involved in e.g. gene expression, X-Chromosome inactivating, imprinting, and gene silencing of germline specific gene and repetitive elements. Questions of the tutorial: - What is methylation and why it cannot be...

Resource type: Tutorial

Epigenetics - DNA Methylation data analysis http://tess.elixir-uk.org/materials/epigenetics-dna-methylation-data-analysis DNA methylation is an epigenetic mechanism used by higher eukaryotes and involved in e.g. gene expression, X-Chromosome inactivating, imprinting, and gene silencing of germline specific gene and repetitive elements. Questions of the tutorial: - What is methylation and why it cannot be recognised by a normal NGS procedure? - Can a different methylation influence the expression of a gene? How? - Which tools you can use to analyse methylation data? Objectives of the tutorial: - Learn how to analyse methylation data - Get a first intuition what are common pitfalls.
Sequence analysis - Mapping

Analyses of sequences Questions of the tutorial: - What two things are crucial for a correct mapping? - What is BAM? Objectives of the tutorial: - You will learn what mapping is - A genome browser is shown that helps you to understand your data

Resource type: Tutorial

Sequence analysis - Mapping http://tess.elixir-uk.org/materials/analysis-of-sequences-mapping Analyses of sequences Questions of the tutorial: - What two things are crucial for a correct mapping? - What is BAM? Objectives of the tutorial: - You will learn what mapping is - A genome browser is shown that helps you to understand your data
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 http://tess.elixir-uk.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
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 http://tess.elixir-uk.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
Searching data using Python

This is a module from the "Python for Biologists" course. It describes how to use Python dictionary and set data structures to search your data. In particular, how to use a dictionary to represent the genetic code table and use it to translate a nucleotide sequence into a protein sequence, and...

Keywords: Programming, Python, Python biologists

Searching data using Python http://tess.elixir-uk.org/materials/searching-data-using-python This is a module from the "Python for Biologists" course. It describes how to use Python dictionary and set data structures to search your data. In particular, how to use a dictionary to represent the genetic code table and use it to translate a nucleotide sequence into a protein sequence, and how to use sets to find unique records in two datasets and remove redundancy.  Programming, Python, Python biologists Biologists Biologists, Genomicists, Computer Scientists beginner bioinformaticians 2013-11-04 2017-10-09
Pattern Matching

This is a module from the "Python for Biologists" course. It teaches how to do pattern matching in Python, i.e. how to find a substring (or a set of substrings) in a string. To this aim, it introduces the regular expression syntax, and the tools needed to search regular expressions in biological...

Keywords: Pattern matching, Programming, Python, Python biologists

Pattern Matching http://tess.elixir-uk.org/materials/pattern-matching This is a module from the "Python for Biologists" course. It teaches how to do pattern matching in Python, i.e. how to find a substring (or a set of substrings) in a string. To this aim, it introduces the regular expression syntax, and the tools needed to search regular expressions in biological sequences and in regular text, such as PubMed abstracts. Exercises and suggested solutions are presented in a separate file. Pattern matching, Programming, Python, Python biologists Biologists Biologists, Genomicists, Computer Scientists beginner bioinformaticians 2013-11-04 2017-10-09
Writing functions in Python programming

This is a module from the "Python for Biologists" course. It deals with functions and how to write and use them. It also introduces namespaces and the tuple data structure. The module contains several exercises and suggested solutions. The text of exercises is also provided in a separate file. 

Scientific topics: Bioinformatics

Keywords: Programming, Python, Python biologists

Writing functions in Python programming http://tess.elixir-uk.org/materials/writing-functions-in-python-programming This is a module from the "Python for Biologists" course. It deals with functions and how to write and use them. It also introduces namespaces and the tuple data structure. The module contains several exercises and suggested solutions. The text of exercises is also provided in a separate file.  Bioinformatics Programming, Python, Python biologists Biologists Biologists, Genomicists, Computer Scientists beginner bioinformaticians 2013-11-04 2017-10-09
Python Programs

This is a module from the "Python for Biologists" course. It deals with Python programs, how to write and run them, and how to provide input and generate output. The module also contains exercises and suggested solutions. 

Keywords: Programming, Python, Python biologists

Python Programs http://tess.elixir-uk.org/materials/python-programs This is a module from the "Python for Biologists" course. It deals with Python programs, how to write and run them, and how to provide input and generate output. The module also contains exercises and suggested solutions.  Programming, Python, Python biologists Biologists Biologists, Genomicists, Computer Scientists beginner bioinformaticians 2013-11-04 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 http://tess.elixir-uk.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
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 http://tess.elixir-uk.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
Introduction to Unix

Introductory lecture to the Unix/Linux command-line Description of the computer shell and the command-line interface Differences between graphical and command-line interfaces The most commond Unix/Linux commands are provided    

Keywords: Bioinformatics, Programming, Unixlinux

Introduction to Unix http://tess.elixir-uk.org/materials/introduction-to-unix Introductory lecture to the Unix/Linux command-line Description of the computer shell and the command-line interface Differences between graphical and command-line interfaces The most commond Unix/Linux commands are provided     Bioinformatics, Programming, Unixlinux Anyone wants to start using the Unix/Linux OS 2013-07-04 2017-10-09