README.md

Bioinformatics-pipeline

Courses, tutorials and books that facilitate bioinformatics.

Courses

Mathematics courses

1 - Linear algebra

• MIT: https://www.youtube.com/watch?v=QVKj3LADCnA&list=PL49CF3715CB9EF31D
• Khan academy: https://www.youtube.com/watch?v=xyAuNHPsq-g&list=PLFD0EB975BA0CC1E0
• Coursera: Matrix Algebra for Engineers (https://www.coursera.org/learn/matrix-algebra-engineers)

2 - Probability

• MIT: https://www.youtube.com/watch?v=j9WZyLZCBzs&list=PLUl4u3cNGP61MdtwGTqZA0MreSaDybji8
• Khan academy: https://www.youtube.com/watch?v=uzkc-qNVoOk&list=PLC58778F28211FA19
• Coursera: An Intuitive Introduction to Probability (https://www.coursera.org/learn/introductiontoprobability)

3 - Statistics

• MIT: https://www.youtube.com/watch?v=VPZD_aij8H0&list=PLUl4u3cNGP60uVBMaoNERc6knT_MgPKS0
• Khan academy: https://www.youtube.com/watch?v=uhxtUt_-GyM&list=PL1328115D3D8A2566
• Coursera: Basic Statistics (https://www.coursera.org/learn/basic-statistics)
• Tutorial: https://sphweb.bumc.bu.edu/otlt/MPH-Modules/BS/R/R-Manual/index.html Recommended

4 - Machine learning

• MIT: https://www.youtube.com/watch?v=_PwhiWxHK8o&list=PLnvKubj2-I2LhIibS8TOGC42xsD3-liux
• Stanford: https://www.youtube.com/watch?v=PPLop4L2eGk&list=PLLssT5z_DsK-h9vYZkQkYNWcItqhlRJLN Important

Biology courses

1 - Beginners

• Introduction to genetics: https://www.youtube.com/watch?v=w0ulFIw386w&list=PLmVYuxv4mIil1yNrudAoGL1Ilqd2rkAjI
• Epigenetic control of gene expression: https://www.coursera.org/learn/epigenetics
• Coursera: Genomics (https://www.coursera.org/learn/genomics-research)
• Genomics and proteomics: https://www.youtube.com/watch?v=HzyUmfc8xCk
• Futurelearn
  • Bacterial genome from DNA to protein (https://www.futurelearn.com/courses/bacterial-genomes-bioinformatics)
  • Metabolomics (https://www.futurelearn.com/courses/metabolomics)

2 - Advanced

• Introduction to systems biology: https://www.coursera.org/learn/systems-biology

• Systems biology and biotechnology: https://www.coursera.org/specializations/systems-biology

• Big data, genes and medicine: https://www.coursera.org/learn/data-genes-medicine

• Introduction to the biology of cancer: https://www.coursera.org/learn/cancer

• Understanding cancer metastasis: https://www.coursera.org/learn/cancer-metastasis

• From disease to gene and back: https://www.coursera.org/learn/disease-genes

  Bioinformatics courses, tutorials and books

  • Statistics for genomics data science: https://www.coursera.org/learn/statistical-genomics
  • Genomics data science: https://www.coursera.org/specializations/genomic-data-science
  • Biology meets programming for beginners: https://www.coursera.org/learn/bioinformatics
  • Molecular evolution: https://www.coursera.org/learn/molecular-evolution
  • Whole bacterial genome sequencing: https://www.coursera.org/learn/wgs-bacteria
  • Genome assembly challenges: https://www.coursera.org/learn/assembling-genomes
  • Bioconductor for genomics data science: https://www.coursera.org/learn/bioconductor
  • Statistical data visualization using seaborn: https://www.coursera.org/projects/statistical-data-visualization-seaborn
  • Data visualization capstone: https://www.coursera.org/learn/data-visualization-capstone
  • Clinical data science: https://www.coursera.org/specializations/clinical-data-science
  • Essential bioinformatics: http://www.aun.edu.eg/molecular_biology/Procedure%20Bioinformatics22.23-4-2015/Xiong%20-%20Essential%20Bioinformatics%20send%20by%20Amira.pdf Recommended

NOTE: Some courses from coursera will requrire financial aid, use Coursera-answers.txt and replace required fields