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I am taking a management course at my work in that states that data containing 40 (single-nucleotide polymorphisms) or more is to be treated as personal information identifying an individual, but I can not find the source for this statement. I would be intersted to know how it was calculated, and I would like something that I can site; not just « I read it in our mandatory e-learning ».

Related to , I just learned that:

, the open research repository from and , supports versioning of digital object identifiers (DOI) since May 2017.

Thanks to this blog post I could also learn about "cool" DOIs.

Human Genome Meeting 2018 (March 12-15th)

" and "

Pacifico hotel, ,

A bit less than one month is left for early bird discount on registration.

Our research center will have a session named “Anatomy of the Human Genome”.

On my way to , the Institute of Science and Technology, where I will participate to a workshop on , the molecule through which genes "express" themselves.

Trivia: when was published the paper that has the #PubMed ID "1" ? Show more

50 % of exploring how to do, 45 % of studying how to do, and 5 % of actually doing it, but now I am more proficient at using the ggbio package from .

One more step in the field of

#bioinformatics with R (#rstats) Show more

The "" submission system in is getting better and better. This year, English support increased again (more translated sections in the web system), and the template form became simpler to use. I think that the length (page limit) for the "kakenhi" applications is a good compromise between being concise (saves time to the applicant and the reviewer) and leaving enough space to develop the main ideas (too short and we would end up judged on our CV only).

...wondering if the "water kit" of magnetic molecular models from 3D Molecular Designs would be a good toy for a 3-yo boy, or if the security warnings are telling me to not do that.

Anyway, there are a lot of cool things in the maker's website, including models related to recent discoveries such as the CRISPR/Cas9 system.

An interesting site to visit !

How about using a in pipelines when producing metadata describing the steps and their output ?

: Journée de la

Lieu :, , Maison Franco-Japonaise ()

Date : vendredi 1er décembre 2017

Inscriptions : 23 octobre 2017 (contributions) / 17 novembre 2017

Plus d'info:

Just a as part of 's project, about the exploration of the transcriptional output of gene promoters, that is, answering the question on “what kind of mRNA molecules are produced from this and that location on the chromosomes”.

Today's editorial in reminds that researchers not respecting a embargo during review may lose of their work (from the journal editor's point of view).

However, and more importantly, it states that submission to a repository does not reduce novelty.

Quote from the editorial: “Interactions with the press related to preprints has become one challenging area”.

Do patents read like this in fields other than biology ?

“In special embodiments, the first RNA or the second RNA may be more than 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 20, 25, 30, 40, 45, 50, 60, 70, 80, 90 or more than 100 nucleotides or base pairs in length. Alternatively or in addition thereto, the RNA, either the first RNA or second RNA or both, may be up to 3000, 2000, 1500, 1200, 1000, 900, 800, 700, 600, 500, 400, 300, 200, 100, 80, 70, 60 or up to 50 nucleotides or base pairs in length.”

It is said that 98.7345284 % of the biologists use too many significant numbers in their reports.

Following the excellent book “Cell biology by the numbers”, I will more often round my numbers. Here is the book's standpoint on the matter:

“we try to follow the correct notation where “approximately” is indicated by the symbol ≈, and loosely means accurate to within a factor of 2 or so. The symbol ~ means “order of magnitude” so only to within a factor of 10”

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