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Beginner course

Bioinformatics

You already work at the bench. This course takes you from the data explosion to a first sequence alignment, without setting up a computer first.

Start chapter 1

Five short scenes. No install.

A worldview for bioinformatics

  1. 1
  2. 2

Computing basics and a first loop

  1. 3
  2. 4
  3. 5
  4. 6
  5. 7

    Regular expressions for sequence

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  6. 8

    A first script: let a loop do the repeats

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  7. 9

    Treat an error like a lab result

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  8. 10

    Quality control, the gel of sequencing

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  9. 11

    From raw reads to a QC report

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The logic under sequence analysis

  1. 12

    Why alignment is the foundation

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  2. 13

    Pairwise alignment: the match that costs least

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  3. 14

    Why BLAST can search a database so fast

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  4. 15

    Multiple alignment and the conserved core

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  5. 16

    Trees and a gene's history

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  6. 17

    Finding genes in a genome

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  7. 18

    Real variants versus sequencing error

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  8. 19

    Assembly: a book from a million scraps

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  9. 20

    From genes to a tree

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A shared pattern for omics

  1. 21

    What a transcriptome measures

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  2. 22

    Sample tables and annotation tables

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  3. 23

    Why raw counts are not expression

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  4. 24

    Alignment or pseudoalignment

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  5. 25

    Is a difference in expression real

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  6. 26

    Volcano plots and heatmaps

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  7. 27

    Enrichment: a gene list into a story

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  8. 28

    Batch effects

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  9. 29

    Single cells, not only the average

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  10. 30

    From raw data to a biological claim

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From analysis to careful science

  1. 31

    Statistics that prevent most analysis mistakes

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  2. 32

    Versions, notes, and reruns

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  3. 33

    Figures that carry the biology

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  4. 34

    From a result to a careful claim

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  5. 35

    Public data, no new experiment

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  6. 36

    What bioinformatics can and cannot answer

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