1.dna_and_rna_analysis_using_biomart

Fundamentals of DNA and RNA analysis - Using BioMart

1.object_oriented_programming

Introduction to Object-Oriented Programming in R

1.rnaseq_data_access_in_r

Download SRA and FastQ files in R

10.data_visualisation_in_r

Bioinformatics, data visualisation techniques for analysis of massive amounts of genomics information in R

10.dna_methylation_analysis

Study of chromosomal patterns of DNA or histone modification by methyl groups.

11.blast_and_msa_in_biopython

Writing CLI scripts to integrate BLAST searches into your pipelines.

12.unsupervised_machine_learning_in_r

Exploratory Data Analysis and Unsupervised Machine Learning in R

13.unsupervised_machine_learning_in_python

Unsupervised Machine Learning in Python

14.supervised_machine_learning_in_r

Supervised Machine Learning in R

15.supervised_machine_learning_in_python

Supervised Machine Learning in Python

16.operations_on_genomic_intervals_and_genome_arithmetic

Using the Bioconductor GenomicRanges package in R for operations on genomic intervals and genome arithmetic

2.biopython_and_python_markdown

How to use Python Markdown

2.ngs_qc_analysis_and_alignment_in_r

Quality control and processing of NGS data

3.r_markdown

How to use R Markdown

3.variant_call_analysis

Identifying single nucleotide polymorphisms (SNPs) and small insertions and deletion (indels) from next generation sequencing data

4.biopython_sequence_objects_part_1

Biopython Sequence Objects Part 1 with Jupiter Notebook

4.rna-seq_expression_analysis

Breaking down the steps of a typical RNA-seq analysis

5.class_prediction_analysis_gene_expression_data_r

Identification of transcript isoforms, gene fusions, and single nucleotide variations

5.version_control

6.biopython_sequence_objects_part_2

BioPython Sequence Objects Part 2 with Jupiter Notebook

6.rna-seq_analysis_dge-cge

Differential Gene Expression and Consistent Gene Differential Expression analysis

7.biopython_sequence_annotation

Biopython Sequence Annotation with Jupiter Notebook

7.microarray_analysis

Study gene expression from Microarrays in R

7.protein_analysis_and_proteomics

Analyse proteins using databases such as UniProt, InterPro through the biomaRt package.

8.biopython_sequence_input-output

Biopython Sequence Input/Outputwith Jupiter Notebook

8.eqtl_analysis

Identify allelic variants associated with gene expression on the basis that a proportion of transcripts are under genetic control.

9.chip-seq_analysis

ChIP-seq combines chromatin immunoprecipitation (ChIP) with massively parallel DNA sequencing to identify the binding sites of DNA-associated proteins.

9.r_functions_and_control_structures

R Functions and Control Structures

beatrizmclm

beatrizmclm.github.io

Turned square.github.io website into my own data analysis and bioinformatics portfolio.