I am taking a management course at my work in #Japan that states that #genomic data containing 40 #SNPs (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 #OpenData, I just learned that:
Thanks to this blog post I could also learn about "cool" DOIs.
Trivia: when was published the paper that has the #PubMed ID "1" ? Show more
In 1975. It took 4 years before it was cited, but in had now a total of 13 citations, including 1 in 2017. The longest gap between two citations was 14 years (no citation between 1995 and 2008).
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 #Bioconductor.
#bioinformatics with R (#rstats) Show more
Looks like I found a good way to convert GenBank files to bed format with #Bioconductor:
gb <- import("toto.gb")
tx <- makeTxDbFromGenBank(gb)
and then something like
A bit of data massaging will be needed for getting the gene names correctly, but hopefully it will work.
The "#kakenhi" #grant submission system in #Japan 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).
Want to 3D print a key ? https://hackaday.com/2017/10/14/3d-printed-kwikset-keys-parametrically Remember to keep your keys hidden from camera ! #openscad #security
My activity as a #scientist, viewed as word clouds of the titles and author lists of my publications.
...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 !
Le Japon se lance dans la monnaie virtuelle #usbeketrica https://usbeketrica.com/article/le-japon-se-lance-dans-la-monnaie-virtuelle #blockchain
Just #published a #DataDescriptor as part of #RIKEN's #FANTOM5 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”.
However, and more importantly, it states that submission to a #preprint 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”