Words are easy, like the wind;
Faithful friends are hard to find.
The unwords are words that are not in a language. Here I provide lists of such words, generated using a neural network.
Who knows? You may be the first to read these newly minted words and, armed with this knowlege, you can finally manufacture that exotic malady you've been looking for to help you get out of (or into) a party.
If you're a writer, these lists are a great resource for fictitious character names, places, animals, and cars.
I have a separate page of neologisms that I have created.
The word lists were generated using the char-rnn recurrent neural network. Depending on the list the inputs were a large English dictionary, first names, names of countries or drug names.
This process is fun and the output is often believably hilarious. The application of char-rnn to the creation of new paint names, such as turdly and Ronching blue, is what motivated me to try this out for myself. Ronch on!
So, if you want to explore Conchar and Pobacia and Sinistan or wonder what kind of symptoms are associated with myconomascophobia or are curious about what a cakmiran would look like, explore the lists in depth and use a new word tonight.
Here are a few short lists to get you started. They're all sampled from my list of about 883,500 English unwords.
Absolutely perfect for that time you don't really want to tell someone what you do. Shut down a conversation quickly with necronology or start one with jabimanology.
More tremendous than before, here is a sneak peek at the President's new vocabulary. He was recently seen acting reassoritious, though aides worry about his gabalkerous tendencies.
Building on covfefe, here are the words containing fefe that the neural network discovered, without covfefe being in the training set.
*fefe*: befefeeper brefefent brefefer cofefesce fefee fefeing fefenially fefenialness fefenian fefenianity fefeniate fefeoridy feferate feferated feferating feferats feferial feferiality feferially feferialness feferic feferies feferonious feferoptable fefery fefes gafefeyed gufefer hifefeed tifeferreuse
What do you hold dearest to your heart? You may not want to answer that question but you don't want to say nothing. Assess your moral superiority by loudly professing your views on abobionalism.
It's hard to know who you are. And even harder admitting it in public. Pick something safe from this list of identities. Be the gabdologist you've always wanted.
So, what are your plans for the future? If you're one of those who feel the question is unanswerable with the current option of words, consider fallupify as a course of action. And if you're feeling less productive but still want to appear like you're doing something, go ahead and nonerify.
I've previously been reference as making fun —omes in the New York Times article "Ome," the Sound of the Scientific Universe Expanding.
Well, now I have even more —omes to ridicule. Hilariously, femome and manome are options!
We focus on the important distinction between confidence intervals, typically used to express uncertainty of a sampling statistic such as the mean and, prediction and tolerance intervals, used to make statements about the next value to be drawn from the population.
Confidence intervals provide coverage of a single point—the population mean—with the assurance that the probability of non-coverage is some acceptable value (e.g. 0.05). On the other hand, prediction and tolerance intervals both give information about typical values from the population and the percentage of the population expected to be in the interval. For example, a tolerance interval can be configured to tell us what fraction of sampled values (e.g. 95%) will fall into an interval some fraction of the time (e.g. 95%).
Altman, N. & Krzywinski, M. (2018) Points of significance: Predicting with confidence and tolerance Nature Methods 15:843–844.
Krzywinski, M. & Altman, N. (2013) Points of significance: Importance of being uncertain. Nature Methods 10:809–810.
A 4-day introductory course on genome data parsing and visualization using Circos. Prepared for the Bioinformatics and Genome Analysis course in Institut Pasteur Tunis, Tunis, Tunisia.
Data visualization should be informative and, where possible, tasty.
Stefan Reuscher from Bioscience and Biotechnology Center at Nagoya University celebrates a publication with a Circos cake.
The cake shows an overview of a de-novo assembled genome of a wild rice species Oryza longistaminata.
The presence of constraints in experiments, such as sample size restrictions, awkward blocking or disallowed treatment combinations may make using classical designs very difficult or impossible.
Optimal design is a powerful, general purpose alternative for high quality, statistically grounded designs under nonstandard conditions.
We discuss two types of optimal designs (D-optimal and I-optimal) and show how it can be applied to a scenario with sample size and blocking constraints.
Smucker, B., Krzywinski, M. & Altman, N. (2018) Points of significance: Optimal experimental design Nature Methods 15:599–600.
Krzywinski, M., Altman, N. (2014) Points of significance: Two factor designs. Nature Methods 11:1187–1188.
Krzywinski, M. & Altman, N. (2014) Points of significance: Analysis of variance (ANOVA) and blocking. Nature Methods 11:699–700.
Krzywinski, M. & Altman, N. (2014) Points of significance: Designing comparative experiments. Nature Methods 11:597–598.
An illustration of the Tree of Life, showing some of the key branches.
The tree is drawn as a DNA double helix, with bases colored to encode ribosomal RNA genes from various organisms on the tree.
All living things on earth descended from a single organism called LUCA (last universal common ancestor) and inherited LUCA’s genetic code for basic biological functions, such as translating DNA and creating proteins. Constant genetic mutations shuffled and altered this inheritance and added new genetic material—a process that created the diversity of life we see today. The “tree of life” organizes all organisms based on the extent of shuffling and alteration between them. The full tree has millions of branches and every living organism has its own place at one of the leaves in the tree. The simplified tree shown here depicts all three kingdoms of life: bacteria, archaebacteria and eukaryota. For some organisms a grey bar shows when they first appeared in the tree in millions of years (Ma). The double helix winding around the tree encodes highly conserved ribosomal RNA genes from various organisms.
Johnson, H.L. (2018) The Whole Earth Cataloguer, Sactown, Jun/Jul, p. 89
An article about keyboard layouts and the history and persistence of QWERTY.
McDonald, T. (2018) Why we can't give up this odd way of typing, BBC, 25 May 2018.