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Record Keeping in Computing Good enough practices in scientific - PowerPoint PPT Presentation

Record Keeping in Computing Good enough practices in scientific computing Greg Wilson 1 * , Jennifer Bryan 2 , Karen Cranston 3 , Justin Kitzes 4 , Lex Nederbragt 5 , Tracy K. Teal 6 *


  1. Record Keeping in Computing Good enough practices in scientific computing Greg Wilson 1 ☯ * , Jennifer Bryan 2 ☯ , Karen Cranston 3 ☯ , Justin Kitzes 4 ☯ , Lex Nederbragt 5 ☯ , Tracy K. Teal 6 ☯ ☯ * ☯ ☯ ☯ ☯ ☯ http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005510 ☯ ☯ OPEN ACCESS OPEN ACCESS © ©

  2. Record Keeping in Computing

  3. Record Keeping in Computing Introduction to R and R Markdown https://dbsloan.github.io/TS2019/exercises/r_markdown.html

  4. Data Visualization Images: Circos.ca

  5. Data Visualization

  6. Data Visualization Quality Figures for Papers and Presentations • Clear and accurate representation of your data • Clean, professional, and aesthetically pleasing appearance • Efficient, reproducible, and automated

  7. Data Visualization Writing Code to Generate Figures ggplot(cnld) + geom_point(aes(x=CumPos, y=r2, size=0.75, colour=as.factor(ChromPrint), alpha = 1/8)) + scale_size_identity() + theme_bw(base_size=15) + scale_color_manual(values=c(rep(c('black', 'dark gray'),11), 'black', 'red')) + scale_x_continuous(expand = c(0.015, 0.015),labels=c(as.character(1:chrNum), "X"), breaks=bpMidVec) + theme(plot.margin = unit( c(0.03,0.03,0.03,0.03) , "in" ), legend.position='none', axis.text.x = element_text(size=6), axis.text.y = element_text(size=7), axis.title.x = element_text(size=8), axis.title.y = element_text(size=8)) + xlab('Chromosome Position') + ylab(expression(paste("Mitonuclear LD (",r^2, ")")))

  8. Data Visualization Gene Expression (RNA-seq Read Depth) Chromosome Position (kb)

  9. Data Visualization Plotting Genomic Data with R and ggplot https://dbsloan.github.io/TS2019/exercises/ggplot.html

  10. Data Visualization Portiera BT (244.9-278.6 kb) Portiera TV (183.5-203.6 kb)

  11. Data Visualization

  12. Data Visualization nad4L nad10 nad11 rps16 ccmA ccmC rps10 ccmB rps19 rps11 ccmF rps14 rps13 rps12 rpl23 rpl35 rpl36 rpoC rpoB rpl34 rpl32 rpoD rpoA rpl27 rpl10 rpl18 rpl19 secY rpl31 rpl20 sdh4 sdh2 sdh3 rpl11 nad8 rpl14 nad9 nad7 rpl16 nad6 nad3 nad5 nad2 nad4 nad1 atp3 rps1 rps7 atp1 rps2 atp4 rps8 rps4 rps3 atp8 atp9 atp6 tatA tufA rpl1 rpl2 rpl5 rpl6 tatC cob co co co co Nicotiana Viridiplantae Marchantia Mesostigma Nephroselmis Pycnococcus Prototheca Chlamydomonas Cyanophora Gla Glaucocystis Porphyra Rho Cyanidioschyzon Picozoan sp . MS584−11 Palpitomonas Crypt Hemiselmis Rhodomonas Ancoracysta Chrysochromulina Hap Emiliania Brevimastigomonas Rhiz Paracercomonas Bigelowiella Stramen Blastocystis Cafeteria Phaeodactylum Chattonella Nyctotherus Alveolata Colponemid−li ke Tetrahymena Plasmodium Chromera Alexandrium Euglena gracilis Trypanosoma Tsukubamonas Excavata Amoeboid BB2 Acrasis Naegleria Andalucia Reclinomonas Ma. californiana Ma. jakobiformis Dictyostelium Am Acanthamoeba Hartmannella Nuclearia Monosiga Opisthokonta Saccharomyces Allomyces Mnemiopsis Oscarella Trichoplax Crassostrea Homo Thecamonas Diphylleia Complex I Complex II Complex III Complex IV Complex V Cyt C Maturation Membrane Transport Translation Transcription

  13. Data Visualization Figure Drawing in R https://dbsloan.github.io/TS2019/exercises/r_figure_drawing.html

  14. Data Visualization

  15. Data Visualization Visualizing Genomic Data with Circos https://dbsloan.github.io/TS2019/exercises/circos.html

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