Paul Gardner

@ppgardne.bsky.social

2418 Followers 2412 Following

Bioinformatics, RNA, benchmarking & educating to fund kayaking and fishing. Ōtepoti/Dunedin, Aotearoa/New Zealand. From Whāngārā.

Screenshot of 12 dubious systematic reviews, annotated with citation statistics.
Comparison of 3 unusual and unusually similar PRISMA flow diagrams.
Comparison of 3 unusual and unusually similar PRISMA flow diagrams.
Comparison of 3 unusual and unusually similar PRISMA flow diagrams.
Unusual numerical patterns from 12 PRISMA flow diagrams -- boxes 1, 2, 3, 4 & 5 should appear in order on the sorted x-axis.
Comparison of 3 unusual and very similar PRISMA diagrams.
Evidence pyramid from: https://commons.wikimedia.org/wiki/File:Research_design_and_evidence_-_Capho.svg
Two chocolate labradors on Waikouaiti Beach.
Kayak fishing, cliffs and Mount Taranaki in the background.
A concept 2 monitor. Set to 8x 1min, with a 1min rest between. Minutes 1 to 6 read precisely 300m with a 1:40 split. Minutes 7 & 8 read just 139m & 130m. In short, the rower hit a wall and nearly died.
Sunrise at Taieri River Mouth. Moturata Island to the right, riverbank to the left, smooth water. Kayak nose and fishing rod in the foreground.
Popoikore, leopard seal. Otago.
#curl -L "https://sdmx.oecd.org/public/rest/data/OECD.STI.STP,DSD_MSTI@DF_MSTI/NZL+AUS+USA+GBR+CAN+IRL+DNK+FIN+SWE+NOR+KOR+ISR+JPN+DEU+FRA+OECD+EU27_2020.A.G.PT_B1GQ._Z._Z?startPeriod=1980&dimensionAtObservation=AllDimensions&format=csvfilewithlabels" -o r_and_d.csv #Sort on year, find replace: #European Union (27 countries from 01/02/2020) #New Zealand #United Kingdom #United States rd <- read.table(file="r_and_d-sorted.csv",sep=",",header=T) lands<-c( 'Australia', 'Canada', 'Denmark', 'EU', 'Finland', 'France', 'Germany', 'Ireland', 'Israel', 'Japan', 'Korea', 'Norway', 'NZ', 'OECD', 'Sweden', 'UK', 'USA' ) pdf(file="r_and_d.pdf", width=10, height=10) par(cex=1.5) plot(NA,NA,xlim=c(1980,2025),ylim=c(0,6.2),main="%GDP for expenditure on R&D",xlab="Year",ylab="%GDP for R&D") for(i in 1:length(lands)){ lines( rd$TIME_PERIOD[rd$Reference.area == lands[i]], rd$OBS_VALUE[rd$Reference.area == lands[i]], col=i, lwd=5, lty=(i%%3)+1) } points(2023,1.54, pch='x', col=13) #Additional data point from: #https://www.stats.govt.nz/information-releases/research-and-development-survey-2024/ text(2023,1.54,"Stats NZ\n2024 report",pos=1, col=13, cex=0.7) legend("topleft", lands, col=1:length(lands), lty=(1:length(lands) %%3)+1, lwd=3, cex=0.7) dev.off()
Plot showing gross expenditure on research and development as a proportion of GDP for Australia, Canada, Denmark, EU, Finland, France, Germany, Ireland, Israel, Japan, Korea, Norway, NZ, OECD, Reference, Sweden, UK, USA from 1980 to 2024. Data provenance+R code: #curl -L "https://sdmx.oecd.org/public/rest/data/OECD.STI.STP,DSD_MSTI@DF_MSTI/NZL+AUS+USA+GBR+CAN+IRL+DNK+FIN+SWE+NOR+KOR+ISR+JPN+DEU+FRA+OECD+EU27_2020.A.G.PT_B1GQ._Z._Z?startPeriod=1980&dimensionAtObservation=AllDimensions&format=csvfilewithlabels" -o r_and_d.csv #Sort on year, find replace: #European Union (27 countries from 01/02/2020) #New Zealand #United Kingdom #United States rd <- read.table(file="r_and_d-sorted.csv",sep=",",header=T) lands<-c( 'Australia', 'Canada', 'Denmark', 'EU', 'Finland', 'France', 'Germany', 'Ireland', 'Israel', 'Japan', 'Korea', 'Norway', 'NZ', 'OECD', 'Sweden', 'UK', 'USA' ) pdf(file="r_and_d.pdf", width=10, height=10) par(cex=1.5) plot(NA,NA,xlim=c(1980,2025),ylim=c(0,6.2),main="%GDP for expenditure on R&D",xlab="Year",ylab="%GDP for R&D") for(i in 1:length(lands)){ lines( rd$TIME_PERIOD[rd$Reference.area == lands[i]], rd$OBS_VALUE[rd$Reference.area == lands[i]], col=i, lwd=5, lty=(i%%3)+1) } points(2023,0.97, pch='x', col=13) #Additional data point from: #https://www.stats.govt.nz/information-releases/research-and-development-survey-2024/ text(2023,0.97,"Stats NZ\n2024 report",pos=1, col=13, cex=0.7) legend("topleft", lands, col=1:length(lands), lty=(1:length(lands) %%3)+1, lwd=3, cex=0.7) dev.off()
Sunrise, a headland juts out to sea, wet beach reflects the sun, kayak and seagulls.
A stylised world map collored by the "research integrity score" -- a combination of proportion of published works that cite either retracted or papers in delisted journals.
Lake Monowai in Fiordland, Aotearoa-New Zealand. Smooth lake water, meets a heavy morning mist, with the sun slightly off-centre.
Contribution of different factors to the overall cost of a sequencing project across time. Left, the four-step process: (i) experimental design and sample collection, (ii) sequencing, (iii) data reduction and management, and (iv) downstream analysis. Right, the changes over time of relative impact of these four components of a sequencing experiment. BAM, Binary Sequence Alignment/Map; BED, Browser Extensible Data; CRAM, compression algorithm; MRF, Mapped Read Format; NGS, next-generation sequencing; TAR, transcriptionally active region; VCF, Variant Call Format.
Calm ocean, just before sunrise, two kayakers in the distance. The bow of the photographer's kayak is visible.
Sun rising behind Taiaroa at the top of the Otago Peninsula. Taken from a kayak, low on the water.
Spurious flow diagram showing a generic enzyme cleavage, surrounded by elements. "Lorem ipsum" tags label 3 steps in the reaction.
Dark grey clouds above a rising sun, over a lumpy sea.
Yellow kayak & kayaker, glassy ocean, minutes after sunrise. Otago, New Zealand.