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words: lettery


The Outbreak Poems — artistic emissions in a pandemic


language + fiction

Dark Matter of the English Language—the unwords

Words are easy, like the wind;
Faithful friends are hard to find.
—William Shakespeare

unwords

This is the biggest list—887,716 English unwords, generated from a list of 479,000 list of English words.

Medically compelling words, defined by some interesting suffixes (e.g. phobia), are presented in the undiseases section.

The list of unwords is filtered to exclude any hyphenation and apostrophes. I've made no attempt to stem the words—for example, to remove what appear to be plural forms.

—3—
abh
baf
cah
daf
ebz
fal
gaa
hea
ibb
jaa
kaa
laa
maq
nai
oaa
paa
qqu
raz
sbz
tah
uea
vae
wel
xni
yab
zaa
—4—
abae
bace
caak
dabn
eacc
faha
gaag
hadr
ibal
jabo
kaah
laep
maal
naan
oaah
paan
qeit
raef
sabm
taak
ubed
vace
wanr
xake
yada
zaac
—5—
ababo
babne
caang
dabna
eable
fadus
gaaba
habwe
iaced
jaacm
kaaab
ladde
maaco
naars
oaads
paabs
qeisa
radlo
sabil
tabal
udsel
vaard
wance
xibne
yebon
zaach
—6—
aachan
babold
caabah
dabnar
eables
facont
gaaada
habway
iacect
jaaday
kaadey
laclic
maakin
nabens
oaagee
paabay
quaben
raldos
sabane
taaque
udnygs
vabara
wamfly
xennis
yeamyl
zaaced
—7—
aamreid
bacadil
caamale
daajarg
eabemic
facomas
gaabags
habwest
iacects
jaabate
kabadis
laclics
maakite
naaquan
oaalake
paaband
qeitage
raemony
sabanal
tabater
ubecide
vabitat
walcama
xeaiate
yazoris
zaacure
—8—
aachtony
bacacree
caamahoo
dabnasas
eabidion
facomate
gaabacte
habwoofs
iaccuate
jaabarly
kabalion
lacloses
maaglive
nabaneer
oaaldiza
paabands
qeinator
ramaness
sabaless
tabakton
uangorin
vabipans
wameless
xeywords
ydneress
zaachner
—9—
abackiest
bacaiting
caambaria
dabnaring
eablishes
facomania
gaaadedia
habwuiter
iacectium
jaadneway
kaahajout
laclidian
maacchial
nabaneest
oabarfort
paachting
qeinatory
raemoning
sabalaryl
taabotzle
udnyglyph
vabippary
wandwares
xendomate
yeesonian
zaachnick
—10—
aadophanic
bacaitings
caamahooed
daakarillo
eabialysis
facolatine
gaabustail
hacchotest
iabiaceous
jaabarness
kaagnation
lacloparia
maagillism
naantalous
oaadrooter
paacrasses
qturegrasm
raemonetts
sabalidase
tabiricate
uaragrable
vabipagean
wandwatark
xickinfert
yebonesses
zaacricker
—11—
aadophacone
bachplasted
caamahooing
dabnationer
eabidiology
facoscophic
gaablerment
hacchotized
ibbicarized
jaacoughter
kabstomment
lacloparian
maagilineal
nabionmaker
oabatrophic
paalligeret
quacidioned
raemonetted
sabalidated
tabisteculi
ubedability
vabipparies
wandwauning
yennishness
zaadishness

—12—
aadophaliums
bachplasters
caamatoscope
dabnariolate
eablansmidal
facolubility
gaablikeness
hadeconwight
iaceulineson
jabification
kabheseeding
lacluntation
maachanavite
nabionership
oabatrophoic
paalodochord
quacefulness
raemonetting
sabalidation
tabjaceously
udnygromissi
vabippareism
wannachanced
yepenousness
zaachnickesh
—13—
abaugescibies
bachanoloical
caamatoscopia
dabnationency
eablamanchium
facontagonite
gaaldrimahedy
hadiaboroness
iachomaniasis
jabimarometer
kabromedizone
lacrusization
maagilinolity
nabitariously
oacantraceous
paanolypaline
quaculiferous
rambreaulowed
sabanucelican
tabjaceousies
uemanociation
vabipparyment
wannachancing
xickingerline
yeryllinemism
zenbhidievine
—14—
abascressionly
bacecification
caamatoscopian
dabnationistic
eacenfigenised
facolubilities
gaarolatically
hacchotization
ibbicarization
jabimarosacily
kaihowfuklench
ladoculsionism
maakursismally
nactualization
oachuloglosynt
paalojiglactry
qansinquirosis
raemoologition
sabracoethygen
tabjaceousness
udnygromoidium
vaceheartedner
wannefictingly
yepfyrotarical
zalaedritellay
—15—
aberyatheberter
badainderedness
caanomaticnatic
dabstologically
eablaneonareous
facophthillahid
gaannificalpous
harrigonishment
ibbicarizations
jaberotherapeus
kabaelesiculous
lamphosescenter
maakuristically
nadastifferling
oachanosophagia
paaminguasechos
quaddractionism
rastarizingness
sabridaboletric
tacdicalization
uemalameisarian
vaceheartedness
wanenolaphonous
ynderapodometer
—16—
abriladothronous
bakoographically
cabalothpization
dactalisingulate
eachematocarpous
fahfoiestheskule
gactiometrically
hadiaboastowning
ibbiographically
jabimoatalophesy
kawaddauriaceous
lamolatrological
maarographically
nadarogenesomacy
ochydramodenomic
paalodorrhaphrin
quaddractimation
rameocrasiferous
saconopasinectic
tachocroytograph
uemanobiological
vegonsculonizing
wandwatalvenwood
yermacographical

—17—
abyranchiatically
baeloazronahumian
cabritometrically
dabsomelscescence
eaticurlegittrial
failonesheeptress
gaarozooenciously
haudacycocetolite
iceiomorphization
jabufedereschilde
kawcayanganasasim
lamphophoraldumal
mabilioistarthine
naniquinpuffyaire
oachryptostecrous
pablinopolization
reaptillification
sabucetarculation
tachyphoschistomy
uemalodeativeness
vegonsculvinalize
whimsellepsitrify
zhonoussitization
—18—
abyinosteracysting
bagoquincification
caccopstherization
dalatosephostomies
eacenfiginembiasis
fantrofingerniness
gaeragotisalgialis
hecalocorpossomies
icemohydrosemuline
jacunceuralization
kaitcholenthythris
leitocartronograph
mabersanthropalous
necrotimoperitoric
oachryptosphorenal
padlandfactiveness
quebunouscephalous
rearmidephenolitic
secrotomyzographic
tachycardometyrous
uenitanisticalness
vellheolinguachure
wanpimmenabilities
yermahvoacetoscoma
—19—
aberyatheldocration
bahandaclionishness
cacethcoalyscraphic
dalanaphorrhachehic
eccolatibidological
fansomosacsimatical
gadiophoressessiric
hadiaboastripangous
icancraticulosality
kelocericostosthene
leliarystallization
mabersanthrological
nercrodyomeberation
odersotenographeral
palanreoncounterite
reconsosentializing
semidezalomolegneal
tagatomotheremotean
unberwrightenedness
velciarcomaryphitis
wenigrassiprulation
—20—
abyogloystelmoiditic
bedaginettaceousness
cachofigarpossometer
dactalismandolitrate
eachtrandrologistric
fedophosphotological
ganroldinocontonosus
henromycorrhhosoidal
iceiolarchythmiamoad
jabimoamordohechmood
kedipercustitalities
macalcromanchamiency
nondenchistentiation
ochyolorenentontagen
palnareoblothiameric
quebrobiogrhecartise
rerepervimestination
scartiometricolastic
talmacoparphocentone
undiffosoliopenazing
velluquithoreterical

—21—
accantosapherochiasis
bemicoloblacontomatic
cachoegnscophystomies
dalificationlessorate
eachygasonaryocarcour
fedorographistrolisan
gadicoarchioscopelous
hedetotypolorphograph
incentularsomoterasia
madychopheniaccuronal
nodaterationalization
octudioflorouphotopia
pechovobbintropnonaic
rechmodechmometrogamo
sabrilostehyricullite
tartosophazoloopellin
undyltracerbandenesol
vereurocerbordohycent
—22—
agniotrophocyclethrine
begipothranmaceraceous
caconsochnecoloscephal
danduocephalomosomeric
egyperyphopothermosate
frachipothostereinitis
gasciocatiosocrasilian
indaaldesitrehenalgian
malcuptisemothanculous
nercroplerographically
oecraumatressesthenibe
peaslothecamonometanic
quebrobiogrhecaryminal
reflesimomolithrosilic
secrotopoidontromastic
tatinochlogacyphologue
undongrensibiliatlemen
—23—
acaraertepitulpeptation
bembenocolbogistromatal
caciceptopomethyleneous
decletopyrrachystolmial
eiyandsceprinainization
galuardicolaristrolcoma
icetoplexistrosthhrenia
lucarucorynchomazintrin
macnchydrogeneumoseable
nonertertabolialization
orchopyrimosalgarositis
pantancoloideculaminone
tanacondrachonomethanic

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news + thoughts

The SEIRS model for infectious disease dynamics

Thu 18-06-2020

Realistic models of epidemics account for latency, loss of immunity, births and deaths.

We continue with our discussion about epidemic models and show how births, deaths and loss of immunity can create epidemic waves—a periodic fluctuation in the fraction of population that is infected.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Nature Methods Points of Significance column: The SEIRS model for infectious disease dynamics. (read)

This column has an interactive supplemental component (download code) that allows you to explore epidemic waves and introduces the idea of the phase plane, a compact way to understand the evolution of an epidemic over its entire course.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Nature Methods Points of Significance column: The SEIRS model for infectious disease dynamics. (Interactive supplemental materials)

Bjørnstad, O.N., Shea, K., Krzywinski, M. & Altman, N. (2020) Points of significance: The SEIRS model for infectious disease dynamics. Nature Methods 17:557–558.

Background reading

Bjørnstad, O.N., Shea, K., Krzywinski, M. & Altman, N. (2020) Points of significance: Modeling infectious epidemics. Nature Methods 17:455–456.

Gene Machines

Fri 05-06-2020

Shifting soundscapes, textures and rhythmic loops produced by laboratory machines.

In commemoration of the 20th anniversary of Canada's Michael Smith Genome Sciences Centre, Segue was commissioned to create an original composition based on audio recordings from the GSC's laboratory equipment, robots and computers—to make “music” from the noise they produce.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Gene Machines by Segue. Now available on vinyl.

Virus Mutations Reveal How COVID-19 Really Spread

Mon 01-06-2020

Genetic sequences of the coronavirus tell story of when the virus arrived in each country and where it came from.

Our graphic in Scientific American's Graphic Science section in the June 2020 issue shows a phylogenetic tree based on a snapshot of the data model from Nextstrain as of 31 March 2020.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Virus Mutations Reveal How COVID-19 Really Spread. Text by Mark Fischetti (Senior Editor), art direction by Jen Christiansen (Senior Graphics Editor), source: Nextstrain (enabled by data from GISAID).

Cover of Nature Cancer April 2020

Mon 27-04-2020

Our design on the cover of Nature Cancer's April 2020 issue shows mutation spectra of patients from the POG570 cohort of 570 individuals with advanced metastatic cancer.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Each ellipse system represents the mutation spectrum of an individual patient. Individual ellipses in the system correspond to the number of base changes in a given class and are layered by mutation count. Ellipse angle is controlled by the proportion of mutations in a class within the sample and its size is determined by a sigmoid mapping of mutation count scaled within the layer. The opacity of each system represents the duration since the diagnosis of advanced disease. (read more)

The cover design accompanies our report in the issue Pleasance, E., Titmuss, E., Williamson, L. et al. (2020) Pan-cancer analysis of advanced patient tumors reveals interactions between therapy and genomic landscapes. Nat Cancer 1:452–468.

Modeling infectious epidemics

Tue 16-06-2020

Every day sadder and sadder news of its increase. In the City died this week 7496; and of them, 6102 of the plague. But it is feared that the true number of the dead this week is near 10,000 ....
—Samuel Pepys, 1665

This month, we begin a series of columns on epidemiological models. We start with the basic SIR model, which models the spread of an infection between three groups in a population: susceptible, infected and recovered.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Nature Methods Points of Significance column: Modeling infectious epidemics. (read)

We discuss conditions under which an outbreak occurs, estimates of spread characteristics and the effects that mitigation can play on disease trajectories. We show the trends that arise when "flattenting the curve" by decreasing `R_0`.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Nature Methods Points of Significance column: Modeling infectious epidemics. (read)

This column has an interactive supplemental component (download code) that allows you to explore how the model curves change with parameters such as infectious period, basic reproduction number and vaccination level.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Nature Methods Points of Significance column: Modeling infectious epidemics. (Interactive supplemental materials)

Bjørnstad, O.N., Shea, K., Krzywinski, M. & Altman, N. (2020) Points of significance: Modeling infectious epidemics. Nature Methods 17:455–456.

The Outbreak Poems

Sat 04-04-2020

I'm writing poetry daily to put my feelings into words more often during the COVID-19 outbreak.

Ideas,
light
in a shadow.
Falling Moon
caught
by horizon.
Distant shout
comes 
in a whisper.

Read the poems and learn what a piku is.