Cool data embedded in the Bitcoin blockchain Encrypted data Updated 2025-07-16
Transactions such as tx fe37c7eee73be5fda91068dbe0eb74a68495a3fc7185712b8417032db7fc9c5e (2015-01-15) starting withare Base64 encoded. Running them through we might as well give up. That string appears 26 times in our data currently, between 6c091e6152b83ec0df8d0d87c7c5f3da72a3328ed3a5d91768ba0ab899c16b9d (2014-09-28) and 84189c82995db355e92e37f8cfe8a9274e9a5d157f1f1658067672e707469a09 (2019-07-06)
U2FsdGVkX1/4iSjLxQ5epo8eRSCOQLGgAsn1CucGii27k8ZyC7Jz6wxhYcevVmxi
6Q4ZFN04WDN0UhKqYardgQf26oeBMURupduDd0ZozxlgMrBkFOCaARqU7RABVWDO
/ruPUcOY0VC8p4lrMNqSdqvN7y6OWwOSH3c0duumZfFNZs9+BbtKCxtaqR5+RkUI
base64 -d
leads to starting output bytes Salted__
which as mentioned at security.stackexchange.com/questions/124312/decrypting-binary-code-from-a-base64-string is OpenSSL encrypted data. So hwerever we see the start:U2FsdGVkX1/
The following via cryptograffiti.info get marked by
file
as "openssl enc'd data with salted password, Base64 encoded":- ad3d8a0a5d57114b1780341cb5104284f029bb01b1b3558f7c7b9ce51eb67e18
- 1cd0c631f444d664601468f644b70e0166019a54d8678de51310139b6c8b2bd7
- ccc3fb2c9cb1c640b76645a8658693066fd63433ab17c318691ad5bd62601c0e
- e6eb0cb8268a9b3d012d2957b32d4b28ccc3317593f54f4bfe4b387326588bd2
- c40e322b198b715accc4a67fad244ed131b8cef0785070e06d10d56c4ab389f2
- 37a261ac6dbf59e3c9673a22028bcdbdd08926a9d32134ab8fba0897f6dcd196
- f1aa516fe00ec2156f16fcb9da422f6cbcd141e8e58c895d8bc37b4ad2fd714e
- 7faf29c7dd7d9cc6d099c262f7ec7edd7fc768276482ad66ceefdd814f1d38ab
- 69cac244051661cc0b8b08905af5ab312a1282b68c932e5d1e3c46ad47ff0f7a
- 1773c39f844951b7169dc34aa0c72aa7b43cae6a103ed1223527ef0f4deec2a9
- b1d4bf3fc46e63c995ad4299f3576340077bc810dfa5c502d1c068460d54bc98
- a52625837741902e1dd24de3dbd3b948d6e0907ad3fc957c13cdf53fa2c3b9ac
- 4ca742813eaccef009e24e92150dda06540c2ac81782f1569b1ebb3179a413d2
- 6c3bab5fc6e6352c62a16ab0f47394845aa41a2c0b25e1a1073a4aeac150e03d
- 20b8feef3d293a0dd79e3c169fceb1217465502a523acbab903a7eb0cd183709
- b7863215b99567bc9e71155b13f3c5f26d15eac52493ee2e834129460ffd2aec
- 2c8961a64bb11d5855790085f51007273467f7ef862137215c9f1d958dcb6c57
- bed542957bdd8f644a4fcd671a8c66a5cc5d6168f9fa60d37177703e77558eee
- 3e45af9d828754d5a38c86636a070610f6e828482718c4a597d272d41a3e31fa
- a13af4817e85cacce3cfb445001e2fb2f56cdc30f78348fd2580bf8f4c84dc55
- 87a10f6bc65a08067b2544e46be00d4af62c0cfed3ae0b165d5eedaff09d81da
- ef55826befabbe9dcd44d87fc385d600dd4c4cba3346cde53d8c591960e9b4dc
- 5d30f63131dcf2b4d001b4ab530e18cc6ff8ffd16cade055ff4587a59b84e420
- 8a75514829b6e30b9fea434eef77b1589ff3f4bdfc0056bd087efbfb8314eb59
- e2be1062c9d43cc6ed43de6f7a40c728d2d92ed0325abde24ff3300cf3ae136a
- 8fe5c2679237e36c74fda04bb083f732c4afdd06af81121b1d7b4d5bd677135f
- 7f099f094d8d51105d8655253d45ebddf1c88b9e138c302a65d2878a237e620c
- 0fc4b3a305e2a7faa2e7d9c2f23d23d626e9e75f1f2a37133f283334b314645b
- 933b321e7b7144ed5e4e1750f944be9ed10293633d9b288bf05febdeb9dc40a3
- 6215486bc024dea7991b142e50e111c4063e1db4a867514612b8e794b8ef5635
- fc0613e11269962d97373b10e310f451fb76c7bb477ba1afb45773c44851e9ed
- ab51d2c037b4625394c68706da83c26bad751018d2a3e377a51988bd8ee18647
- 7ca9b337172f4feff67a0ecbfbd76798265e08c6ebe989a319883c695d756247
- 0f0b477e456dcf286d7262497bcd5b3b6a3ce89f81761c2f59ff702539ab6183
- a320152fd59426c8853dd781db9d682f89755953b39a653f9e9c9628a5fce7fb
- e96221da774fb52d24dda1b83b14c99085eb4befac64691722c56eb750562d68
- a7a5ca68dd340dd42bd5c91e0febe68e5fd2fb993da2992661183eaafe8ad89e
- 64e9d95e2333cfd155506199c8d926649e63a98dbc83c1221b8dd1580937b942
blockchain.news/news/mysterious-bitcoin-inscriptions-a-puzzle-in-raw-binary-data mentions a huge 9 MB Ordinal ruleset inscription that no-one managed to decode, and so people suspect is encrypted data. Seems to be split across transactions, starting at fed7de7fb75a3fe3c1acbbd8e19a4c540fb368474c8834e4ddb1d5bab764a767
E. Coli K-12 MG1655 promoter Updated 2025-07-16
E. Coli Whole Cell Model by Covert Lab Condition Updated 2025-07-16
reconstruction/ecoli/flat/condition/nutrient/minimal.tsv
contains the nutrients in a minimal environment in which the cell survives:If we compare that to"molecule id" "lower bound (units.mmol / units.g / units.h)" "upper bound (units.mmol / units.g / units.h)" "ADP[c]" 3.15 3.15 "PI[c]" 3.15 3.15 "PROTON[c]" 3.15 3.15 "GLC[p]" NaN 20 "OXYGEN-MOLECULE[p]" NaN NaN "AMMONIUM[c]" NaN NaN "PI[p]" NaN NaN "K+[p]" NaN NaN "SULFATE[p]" NaN NaN "FE+2[p]" NaN NaN "CA+2[p]" NaN NaN "CL-[p]" NaN NaN "CO+2[p]" NaN NaN "MG+2[p]" NaN NaN "MN+2[p]" NaN NaN "NI+2[p]" NaN NaN "ZN+2[p]" NaN NaN "WATER[p]" NaN NaN "CARBON-DIOXIDE[p]" NaN NaN "CPD0-1958[p]" NaN NaN "L-SELENOCYSTEINE[c]" NaN NaN "GLC-D-LACTONE[c]" NaN NaN "CYTOSINE[c]" NaN NaN
reconstruction/ecoli/flat/condition/nutrient/minimal_plus_amino_acids.tsv
, we see that it adds the 20 amino acids on top of the minimal condition:so we guess that"L-ALPHA-ALANINE[p]" NaN NaN "ARG[p]" NaN NaN "ASN[p]" NaN NaN "L-ASPARTATE[p]" NaN NaN "CYS[p]" NaN NaN "GLT[p]" NaN NaN "GLN[p]" NaN NaN "GLY[p]" NaN NaN "HIS[p]" NaN NaN "ILE[p]" NaN NaN "LEU[p]" NaN NaN "LYS[p]" NaN NaN "MET[p]" NaN NaN "PHE[p]" NaN NaN "PRO[p]" NaN NaN "SER[p]" NaN NaN "THR[p]" NaN NaN "TRP[p]" NaN NaN "TYR[p]" NaN NaN "L-SELENOCYSTEINE[c]" NaN NaN "VAL[p]" NaN NaN
NaN
in theupper mound
likely means infinite.We can try to understand the less obvious ones:ADP
: TODOPI
: TODOPROTON[c]
: presumably a measure of pHGLC[p]
: glucose, this can be seen by comparingminimal.tsv
withminimal_no_glucose.tsv
AMMONIUM
: ammonium. This appears to be the primary source of nitrogen atoms for producing amino acids.CYTOSINE[c]
: hmmm, why is external cytosine needed? Weird.
reconstruction/ecoli/flat/reconstruction/ecoli/flat/condition/timeseries/
contains sequences of conditions for each time. For example:reconstruction/ecoli/flat/reconstruction/ecoli/flat/condition/timeseries/000000_basal.tsv
contains:which means just using"time (units.s)" "nutrients" 0 "minimal"
reconstruction/ecoli/flat/condition/nutrient/minimal.tsv
until infinity. That is the default one used byrunSim.py
, as can be seen from./out/manual/wildtype_000000/000000/generation_000000/000000/simOut/Environment/attributes/nutrientTimeSeriesLabel
which contains just000000_basal
.reconstruction/ecoli/flat/reconstruction/ecoli/flat/condition/timeseries/000001_cut_glucose.tsv
is more interesting and contains:so we see that this will shift the conditions half-way to a condition that will eventually kill the bacteria because it will run out of glucose and thus energy!"time (units.s)" "nutrients" 0 "minimal" 1200 "minimal_no_glucose"
Timeseries can be selected with--variant nutrientTimeSeries X Y
, see also: run variants.We can use that variant with:VARIANT="condition" FIRST_VARIANT_INDEX=1 LAST_VARIANT_INDEX=1 python runscripts/manual/runSim.py
reconstruction/ecoli/flat/condition/condition_defs.tsv
contains lines of form:"condition" "nutrients" "genotype perturbations" "doubling time (units.min)" "active TFs" "basal" "minimal" {} 44.0 [] "no_oxygen" "minimal_minus_oxygen" {} 100.0 [] "with_aa" "minimal_plus_amino_acids" {} 25.0 ["CPLX-125", "MONOMER0-162", "CPLX0-7671", "CPLX0-228", "MONOMER0-155"]
condition
refers to entries inreconstruction/ecoli/flat/condition/condition_defs.tsv
nutrients
refers to entries underreconstruction/ecoli/flat/condition/nutrient/
, e.g.reconstruction/ecoli/flat/condition/nutrient/minimal.tsv
orreconstruction/ecoli/flat/condition/nutrient/minimal_plus_amino_acids.tsv
genotype perturbations
: there aren't any in the file, but this suggests that genotype modifications can also be incorporated heredoubling time
: TODO experimental data? Because this should be a simulation output, right? Or do they cheat and fix doubling by time?active TFs
: this suggests that they are cheating transcription factors here, as those would ideally be functions of other more basic inputs
E. Coli Whole Cell Model by Covert Lab Time series run variant Updated 2025-07-16
To modify the nutrients as a function of time, with To select a time series we can use something like:As mentioned in
python runscripts/manual/runSim.py --variant nutrientTimeSeries 25 25
python runscripts/manual/runSim.py --help
, nutrientTimeSeries
is one of the choices from github.com/CovertLab/WholeCellEcoliRelease/blob/7e4cc9e57de76752df0f4e32eca95fb653ea64e4/models/ecoli/sim/variants/__init__.py#L5725 25
means to start from index 25 and also end at 25, so running just one simulation. 25 27
would run 25 then 26 and then 27 for example.The timeseries with index 25 is so we understand that it starts with extra amino acids in the medium, which benefit the cell, and half way through those are removed at time 1200s = 20 minutes. We would therefore expect the cell to start expressing amino acid production genes exactly at that point.
reconstruction/ecoli/flat/condition/timeseries/000025_cut_aa.tsv
and contains"time (units.s)" "nutrients"
0 "minimal_plus_amino_acids"
1200 "minimal"
nutrients
likely means condition
in that file however, see bug report with 1 1
failing: github.com/CovertLab/WholeCellEcoliRelease/issues/24When we do this the simulation ends in:so we see that the doubling time was faster than the one with minimal conditions of
Simulation finished:
- Length: 0:34:23
- Runtime: 0:08:03
0:42:49
, which makes sense, since during the first 20 minutes the cell had extra amino acid nutrients at its disposal.The output directory now contains simulation output data under
out/manual/nutrientTimeSeries_000025/
. Let's run analysis and plots for that:python runscripts/manual/analysisVariant.py &&
python runscripts/manual/analysisCohort.py --variant 25 &&
python runscripts/manual/analysisMultigen.py --variant 25 &&
python runscripts/manual/analysisSingle.py --variant 25
We can now compare the outputs of this run to the default
wildtype_000000
run from Section "Install and first run".out/manual/plotOut/svg_plots/massFractionSummary.svg
: because we now have two variants in the sameout/
folder,wildtype_000000
andnutrientTimeSeries_000025
, we now see a side by side comparision of both on the same graph!The run variant where we started with amino acids initially grows faster as expected, because the cell didn't have to make it's own amino acids, so growth is a bit more efficient.
The following plots from under
out/manual/wildtype_000000/000000/{generation_000000,nutrientTimeSeries_000025}/000000/plotOut/svg_plots
have been manually joined side-by-side with:for f in out/manual/wildtype_000000/000000/generation_000000/000000/plotOut/svg_plots/*; do
echo $f
svg_stack.py \
--direction h \
out/manual/wildtype_000000/000000/generation_000000/000000/plotOut/svg_plots/$(basename $f) \
out/manual/nutrientTimeSeries_000025/000000/generation_000000/000000/plotOut/svg_plots/$(basename $f) \
> tmp/$(basename $f)
done
Amino acid counts
. Source. aaCounts.svg
:- default: quantities just increase
- amino acid cut: there is an abrupt fall at 20 minutes when we cut off external supply, presumably because it takes some time for the cell to start producing its own
External exchange fluxes of amino acids
. Source. aaExchangeFluxes.svg
:- default: no exchanges
- amino acid cut: for all graphs except phenylalanine (PHE), either the cell was intaking the AA (negative flux), and that intake goes to 0 when the supply is cut, or the flux is always 0.
mRNA count of highly expressed mRNAs
. Source. From file expression_rna_03_high.svg
. Each of the entries is a gene using the conventional gene naming convention of xyzW
, e.g. here's the BioCyc for the first entry, tufA
: biocyc.org/gene?orgid=ECOLI&id=EG11036, which comments Elongation factor Tu (EF-Tu) is the most abundant protein in E. coli.
External exchange fluxes
. Source. mediaExcange.svg
: this one is similar to aaExchangeFluxes.svg
, but it also tracks other substances. The color version makes it easier to squeeze more substances in a given space, but you lose the shape of curves a bit. The title seems reversed: red must be excretion, since that's where glucose (GLC) is.The substances are different between the default and amino acid cut graphs, they seem to be the most exchanged substances. On the amino cut graph, first we see the cell intaking most (except phenylalanine, which is excreted for some reason). When we cut amino acids, the uptake of course stops.
ELF Hello World Tutorial
SHT_NULL
Updated 2025-07-16In index 0,
SHT_NULL
is mandatory. Are there any other uses for it: stackoverflow.com/questions/26812142/what-is-the-use-of-the-sht-null-section-in-elf ? GitLab cookbook Updated 2025-07-16
gnuplot command line hello world Updated 2025-07-16
CLI hello world:
gnuplot -p -e 'p sin(x)'
Instrumental goal Updated 2025-07-16
Pro of superconducting qubits Updated 2025-07-16
E. Coli K-12 MG1655 gene Updated 2025-07-16
FeathersJS Heroku deployment Updated 2025-07-16
Got it working as mentioned at: github.com/cirosantilli/feathers-chat/tree/sequelize-pg
Bibliography:
There's also a
heroku
branch at: github.com/feathersjs/feathers-chat/tree/heroku, but it also seems to use NeDB? So you can have a filesystem in Heroku? Doesn't seem so: stackoverflow.com/questions/42775418/heroku-local-persistent-storage Git tips Move your branch on top of newest master Updated 2025-07-16
Before:
5 master
|
4 7 my-feature HEAD
| |
3 6
|/
2
|
1
Action:
git rebase
After:Ready to push with linear history!
7 my-feature HEAD
|
6
|
5 master
|
4
|
3
|
2
|
1
History of the electromagnetic theory of light Updated 2025-07-16
Inside Job (2010) Updated 2025-07-16
Tachyonic antitelephone Updated 2025-07-16
The Big Short (2015) Updated 2025-07-16
MSc course of the University of Oxford Updated 2025-07-16
QMUL Game AI Research Group Updated 2025-07-16
Principal investigator: Simon M. Lucas.
Realworld app written in Express Updated 2025-07-16
gothinkster/realworld implementations based on Express.js.
Category 5 cable Updated 2025-07-16
Unlisted articles are being shown, click here to show only listed articles.