Summary

Samenvatting van alle hoorcolleges, werkcolleges en zelfstudies van bio-informatica (BMW11219)

21 views 0 purchase

Course
Bio-informatica (BMW11219)

Institution
Universiteit Utrecht (UU)

Deze gedetailleerde samenvatting behandelt alles wat aan bod is gekomen tijdens de hoorcolleges, werkcolleges en zelfstudies van de cursus Bio-informatica aan de Universiteit Utrecht (BMW11219). Hierdoor bevat het alle informatie die nodig is voor het eindtentamen.

[Show more]

Preview 4 out of 214 pages

View example

Uploaded on March 9, 2023
Number of pages 214
Written in 2019/2020
Type Summary

logische operatoren
vectoren
matrices
lijsten
dataframes
factors
data importeren
kwaliteitscontrole
red flags
visualisatie
histogram
boxplot
correlatieplot
heatmap
afg
spreidingsdiagram scatter plot

Institution
Universiteit Utrecht (UU)
Education
Biomedische Wetenschappen
Course
Bio-informatica (BMW11219)

xnicolevdz

Member since 5 year 100 documents sold

$9.80

Added

Add to cart

Add to wishlist

100% satisfaction guarantee
Immediately available after payment
Both online and in PDF
No strings attached

Samenvatting
Bio-informatica
WEEK 1 T/M WEEK 10
Biomedische Wetenschappen - 2019/2020
Door Nicole (studente BMW)

,Inhoudsopgave
Bio-informatica ........................................................................................................................................ 8
Terminologie ....................................................................................................................................... 8
Databases ........................................................................................................................................ 8
Omics ............................................................................................................................................... 8
Programmeren ................................................................................................................................ 8
Toepassingen ....................................................................................................................................... 8
Sequentie analyse............................................................................................................................ 9
Eiwitstructuren .............................................................................................................................. 10
Genexpressie ................................................................................................................................. 10
Biologische netwerken .................................................................................................................. 10
Introductie R Basis ................................................................................................................................. 11
Inleiding ............................................................................................................................................. 11
Programmeren .................................................................................................................................. 11
R en RStudio .................................................................................................................................. 12
Berekeningen................................................................................................................................. 12
Datatypes .......................................................................................................................................... 14
Logische operatoren ...................................................................................................................... 14
Datastructuren .................................................................................................................................. 15
Vectoren met willekeurige waarden en karakter.......................................................................... 16
Matrices ......................................................................................................................................... 16
Lijsten en dataframes .................................................................................................................... 17
Factors ........................................................................................................................................... 18
Introductie R Importeren ...................................................................................................................... 19
Data importeren ................................................................................................................................ 19
Kwaliteitscontrole.......................................................................................................................... 22
Data selecteren ................................................................................................................................. 23
Veelvoorkomende fouten ............................................................................................................. 23
Logische operatoren ...................................................................................................................... 24
Dataframe...................................................................................................................................... 24
Data sorteren en ordenen ................................................................................................................. 25
Missende gegevens ........................................................................................................................... 26
Rode vlaggen ................................................................................................................................. 26

1

,Introductie R Grafieken ......................................................................................................................... 28
Visualisatie......................................................................................................................................... 28
Spreidingsdiagram (scatterplot) .................................................................................................... 30
Histogram ...................................................................................................................................... 31
Boxplot .......................................................................................................................................... 32
Correlatieplot ................................................................................................................................ 33
Heatmap ........................................................................................................................................ 34
Aanpassen van visualisaties .............................................................................................................. 34
Assen ............................................................................................................................................. 34
Titel ................................................................................................................................................ 34
Markers ......................................................................................................................................... 34
Legenda ......................................................................................................................................... 36
Valkuilen en leugens van visualisaties............................................................................................... 36
Afgekapte as .................................................................................................................................. 36
Dubbele as ..................................................................................................................................... 37
Selectieve contrasten (heatmaps) ................................................................................................. 37
Opslaan van plots .............................................................................................................................. 39
Introductie R Cancer genomics ............................................................................................................. 40
Sequencing ........................................................................................................................................ 41
Mutaties ........................................................................................................................................ 41
Panorama van driver mutaties ...................................................................................................... 43
TGCA dataset ..................................................................................................................................... 44
Introductie R Functies ........................................................................................................................... 45
Functies in RStudio ............................................................................................................................ 45
Scope ................................................................................................................................................. 46
If/else statements ............................................................................................................................. 47
Apply .................................................................................................................................................. 48
Varianten van apply....................................................................................................................... 49
Onderzoeksvragen en designs ............................................................................................................... 51
Onderzoekscyclus .............................................................................................................................. 51
Onderzoeksvraag ........................................................................................................................... 51
Werkplan ....................................................................................................................................... 53
Onderzoeksopzet (design) ............................................................................................................. 54

2

, Beschrijvende statistiek......................................................................................................................... 61
Statistiek in onderzoek ...................................................................................................................... 61
Kengetallen continue uitkomstmaten ............................................................................................... 62
Locatiematen ................................................................................................................................. 62
Spreidingsmaten............................................................................................................................ 64
Overzicht ....................................................................................................................................... 64
Correlatie (samenhang) ..................................................................................................................... 65
Beschrijvende statistiek in RStudio ................................................................................................... 67
Frequentiematen en associatiematen .................................................................................................. 69
Frequentiematen............................................................................................................................... 69
Prevalentie..................................................................................................................................... 69
Incidentie ....................................................................................................................................... 69
Associatiematen ................................................................................................................................ 71
Relatief risico ................................................................................................................................. 71
Risicoverschil ................................................................................................................................. 73
Odds ratio ...................................................................................................................................... 73
Datacyclus.............................................................................................................................................. 75
Inleiding ............................................................................................................................................. 75
Datamanager ................................................................................................................................. 75
UPOD ............................................................................................................................................. 75
Stap 0 ............................................................................................................................................. 75
Data verzamelen (stap 1) .................................................................................................................. 76
Data verwerken (stap 2) .................................................................................................................... 77
Data analyseren (stap 3).................................................................................................................... 78
Data publiceren (stap 4) .................................................................................................................... 79
Data archiveren (stap 5) .................................................................................................................... 80
Data hergebruiken (stap 6)................................................................................................................ 81
FAIR data ........................................................................................................................................... 82
Findable ......................................................................................................................................... 82
Accesible ........................................................................................................................................ 82
Interoperable................................................................................................................................. 82
Reusable ........................................................................................................................................ 82
Next Generation Sequencing ................................................................................................................ 83
Sanger sequencing............................................................................................................................. 83
Sequentie technologieën .................................................................................................................. 84
Library preparation............................................................................................................................ 84

3

The benefits of buying summaries with Stuvia:

Guaranteed quality through customer reviews

Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.

Quick and easy check-out

You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.

Focus on what matters

Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!

Frequently asked questions

What do I get when I buy this document?

You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.

Satisfaction guarantee: how does it work?

Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.

Who am I buying these notes from?

Stuvia is a marketplace, so you are not buying this document from us, but from seller xnicolevdz. Stuvia facilitates payment to the seller.

Will I be stuck with a subscription?

No, you only buy these notes for $9.80. You're not tied to anything after your purchase.

Can Stuvia be trusted?

4.6 stars on Google & Trustpilot (+1000 reviews)

62890 documents were sold in the last 30 days

Founded in 2010, the go-to place to buy study notes for 14 years now

Start selling

Popular Universities in the United States

Popular books

Find notes and summaries for these qualifications

Seller

Exam (elaborations) ·

Summary

Samenvatting van alle hoorcolleges, werkcolleges en zelfstudies van bio-informatica (BMW11219)

Document information

Subjects

Written for