damnn come to think of it, there hasn't been any *new* gedmatch calc added to gedmatch.com for years!
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damnn come to think of it, there hasn't been any *new* gedmatch calc added to gedmatch.com for years!
Thanks in advance!!
Population
North_Atlantic 18.30
Baltic 19.67
West_Med 20.55
West_Asian 13.26
East_Med 22.68
Red_Sea 4.74
Northeast_African 0.39
Sub-Saharan 0.33
Siberian 0.09
South_Asian -
East_Asian -
Amerindian -
Oceanian -
They are dated now, David scrapped those for Global 25 and nMonteQuote:
Originally Posted by Iloko
I wish that had new ones too. Makes me sadQuote:
Originally Posted by Iloko
My grandmother:
Population
North_Atlantic 12.19 Pct
Baltic 5.02 Pct
West_Med 21.08 Pct
West_Asian 11.74 Pct
East_Med 35.65 Pct
Red_Sea 9.63 Pct
South_Asian 0.12 Pct
East_Asian 0.26 Pct
Siberian -
Amerindian 0.81 Pct
Oceanian 0.15 Pct
Northeast_African 1.57 Pct
Sub-Saharan 1.80 Pct
mine:
Population
North_Atlantic 13.12
Baltic 2.57
West_Med 19.73
West_Asian 12.38
East_Med 36.28
Red_Sea 9.72
South_Asian -
East_Asian -
Siberian -
Amerindian 0.19
Oceanian -
Northeast_African 2.26
Sub-Saharan 3.71
https://i.postimg.cc/rFk4589D/k13d.png
https://i.postimg.cc/Y0qHwLH4/k13da.pngQuote:
Originally Posted by Sp_loa
Quote:
Originally Posted by Iloko
So what? He's not the only one capable, other people could continue if he doesn't want to himself.Quote:
Originally Posted by Vasconcelos
The odds the calculators would be better is extremelly slim, G25 is a great PCA. Besides nMonte allows custom models anyway, so it's a bit of a pointless effortQuote:
Originally Posted by Leto
I'm still thinking Gedmatch is accurate and needs new calculators. Some calculators more accurate than G25, for me at least.
nMonte is shit, it's just an oracle, nothing groundbreaking about it.Quote:
Originally Posted by Vasconcelos
He made wrong decision. Looking at this nMonte and ''modeling'' it looks like scam and inferior to gedmatch.Quote:
Originally Posted by Vasconcelos
Lol and you must pay him for that crap.Quote:
Originally Posted by Leto
Yes, the truth is that you can model yourself as almost anything, which doesn't mean you actually have that kind of ancestry. I can probably be modeled as Lithuanian + Serbian + Chuvash and things like that but in reality I don't have ancestors from those groups. How is that supposed to be more accurate? I prefer racial and geographic components, not just oracles.
G25 is better than Gedmatch, you just have to know how to use it. Once you've seen your results on Gedmatch that's it. You get no more value out of it. G25 is always being updated with new references to test.
Could you add me. Thanks!
# Population Percent
1 East_Med 26.7
2 North_Atlantic 21.82
3 West_Med 19.44
4 Baltic 14.78
5 West_Asian 13.26
6 Red_Sea 3.35
7 Amerindian 0.64
https://i.postimg.cc/bvvRpgBH/kleenex.pngQuote:
Originally Posted by kleenex
I wanted one year ago to add K47 to Gedmatch. They were nice "We will add for some time, no problem". I reminded them few times. But still nothing.Quote:
Originally Posted by Leto
So it is also problem with Gedmatch guys...
What do you know about computation biology and data science in order to label it "shit"? Maybe there's a reason no one uses those calcs anymore (people here don't count, sorry)Quote:
Originally Posted by Leto
Even if the algorith were exactly the same, the simple fact that it allows customisation and more/better references would already make it superior than those Gedmatch oracles. Gedmatch calcs were cool, but they are past now
It's more for hypothesis testing, not exaclty but has use if used correctly.Quote:
Originally Posted by Leto
I have some clues G25 is compatible with Eurogenes calculators. I will tell later maybe.Quote:
Originally Posted by Vasconcelos
It is PCA made on K25 components of standard admixture calculator, not smartPCA on dataset with genomes.
Simply in every case someone orders coordinates Polako would have to convert his raw file to PLINK format, then merge with own G25 dataset, then convert it to Eigenstrat format, than make smartPCA, then find row with coordinates and then email it.
In case of PCA based on K25 calculator he does it using PAST in 30 seconds (and before test in DIY K25 calc of course for component breakdown but is automatic) , like I do for K36 runner. I don't believe he waste so much time, but maybe...
Gedmatch is not that useful for people who come from more than four different ethnic backgrounds. For those people, nMonte is more useful.Quote:
Originally Posted by Kaspias
It is very useful for people who come from more than four different ethnic backgrounds.Quote:
Originally Posted by Leto
Would you please add me. Please add my parents too if that is okay? Thanks
Mr.G
North_Atlantic 38.89
Baltic 25.72
West_Med 13.84
West_Asian 6.79
East_Med 8.60
Red_Sea 2.11
South_Asian 1.66
East_Asian -
Siberian 1.05
Amerindian 0.75
Oceanian 0.57
Northeast_African -
Sub-Saharan -
Mr.G(M)
North_Atlantic 45.34
Baltic 23.79
West_Med 13.84
West_Asian 6.37
East_Med 7.26
Red_Sea 1.08
South_Asian 1.07
East_Asian -
Siberian 0.11
Amerindian 0.12
Oceanian 0.36
Northeast_African 0.30
Sub-Saharan 0.35
Mr.G(D)
North_Atlantic 29.46
Baltic 24.19
West_Med 12.97
West_Asian 8.03
East_Med 7.37
Red_Sea 3.76
South_Asian 4.16
East_Asian 1.20
Siberian 3.05
Amerindian 1.41
Oceanian 1.17
Northeast_African 2.16
Sub-Saharan 1.07
This is a phased kit but I believe it plots fairly accurately.
https://i.postimg.cc/D0Dm9MMz/mrg.pngQuote:
Originally Posted by Mr.G
Thanks! Interesting how my dad is plotting fairly accurately there (generally on the path I am taking eastward in the PCA, away from my mother) in-spite of an odd phased result.
Can you please add my parents?Quote:
Originally Posted by J. Ketch
Leto_D
Population
North_Sea 16.36 Pct
Atlantic 17.10 Pct
Baltic 30.86 Pct
Eastern_Euro 25.79 Pct
West_Med 4.58 Pct
West_Asian 3.10 Pct
East_Med -
Red_Sea -
South_Asian 0.73 Pct
Southeast_Asian 0.40 Pct
Siberian 0.38 Pct
Amerindian 0.64 Pct
Oceanian -
Northeast_African -
Sub-Saharan -
Leto_M
Population
North_Sea 24.58 Pct
Atlantic 7.08 Pct
Baltic 24.77 Pct
Eastern_Euro 26.56 Pct
West_Med 2.33 Pct
West_Asian 3.74 Pct
East_Med 0.79 Pct
Red_Sea 1.61 Pct
South_Asian 0.95 Pct
Southeast_Asian 0.43 Pct
Siberian 5.15 Pct
Amerindian 1.84 Pct
Oceanian -
Northeast_African -
Sub-Saharan 0.17 Pct
Add me please :)
North_Atlantic 40.85
Baltic 35.91
West_Med 9.04
West_Asian 4.08
East_Med 2.62
South_Asian 1.88
East_Asian 1.30
Siberian 3.25
Amerindian 0.15
Oceanian 0.71
Northeast_African 0.22
These are K15...Quote:
Originally Posted by Leto
Add emziepiex3, please:
North_Atlantic 28.94 Pct
Baltic 26.74 Pct
West_Med 15.96 Pct
West_Asian 10.01 Pct
East_Med 16.78 Pct
Red_Sea 0.27 Pct
South_Asian -
East_Asian -
Siberian 0.22 Pct
Amerindian 0.48 Pct
Oceanian 0.44 Pct
Northeast_African -
Sub-Saharan 0.16 Pct
Quote:
Originally Posted by Mazik
https://i.postimg.cc/zf8tvqwf/18feb.pngQuote:
Originally Posted by CommonSense
NW Euro magnified
https://i.postimg.cc/mkzVJk4m/feb18a.png
Add me, please :)
North_Atlantic 39.39 Pct
Baltic 22.67 Pct
West_Med 14.29 Pct
West_Asian 6.00 Pct
East_Med 12.15 Pct
Red_Sea 1.06 Pct
South_Asian 1.95 Pct
East_Asian 0.09 Pct
Siberian -
Amerindian 0.86 Pct
Oceanian 1.03 Pct
Northeast_African 0.54 Pct
Sub-Saharan -
Very Western compared to the Hungarian average it seems.Quote:
Originally Posted by Egyvalaki
https://i.postimg.cc/Dy8t2RN9/egyvalaki.png
Please add me,
Population
North_Atlantic 14.95
Baltic 4.99
West_Med 19.02
West_Asian 14.44
East_Med 35.68
Red_Sea 6.14
South_Asian -
East_Asian 2.39
Siberian -
Amerindian 0.08
Oceanian 0.97
Northeast_African 0.17
Sub-Saharan 1.17
Population
North_Atlantic 23.13
Baltic 30.06
West_Med 19.04
West_Asian 12.54
East_Med 10.36
Red_Sea 3.40
South_Asian -
East_Asian 0.20
Siberian 0.73
Amerindian 0.18
Oceanian 0.37
Northeast_African -
Sub-Saharan -
# Population Percent
1 North_Atlantic 23.76
2 West_Med 17.29
3 Amerindian 16.79
4 East_Med 11.4
5 Sub-Saharan 10.66
6 Baltic 9.16
7 West_Asian 4.48
8 Northeast_African 2.6
9 Red_Sea 2.33
10 Oceanian 0.97
11 South_Asian 0.5
12 East_Asian 0.04
13 Siberian 0.01
# Population Percent
1 North_Atlantic 23.76
2 West_Med 17.29
3 Amerindian 16.79
4 East_Med 11.4
5 Sub-Saharan 10.66
6 Baltic 9.16
7 West_Asian 4.48
8 Northeast_African 2.6
9 Red_Sea 2.33
10 Oceanian 0.97
11 South_Asian 0.5
12 East_Asian 0.04
13 Siberian 0.01
Even here we're very similarQuote:
Originally Posted by QuercusRobur
Population
North_Atlantic 22.18
Baltic 33.94
West_Med 14.38
West_Asian 9.99
East_Med 13.86
Red_Sea 3.05
South_Asian -
East_Asian 1.21
Siberian -
Amerindian 0.91
Oceanian 0.49
Northeast_African -
Sub-Saharan
Still making those? Would be great if you could add my father:
Population
North_Atlantic 35.70 Pct
Baltic 15.45 Pct
West_Med 24.57 Pct
West_Asian 0.58 Pct
East_Med 15.64 Pct
Red_Sea 1.80 Pct
South_Asian 0.58 Pct
East_Asian -
Siberian 0.79 Pct
Amerindian 0.38 Pct
Oceanian 1.04 Pct
Northeast_African 2.51 Pct
Sub-Saharan 0.96 Pc
Single Population Sharing:
# Population (source) Distance
1 Portuguese 5.25
2 Spanish_Galicia 6.28
3 Spanish_Castilla_Y_Leon 6.92
4 Spanish_Cataluna 7.06
5 Spanish_Extremadura 7.26
6 Spanish_Valencia 7.28
7 Spanish_Murcia 7.34
8 North_Italian 8.64
9 Spanish_Andalucia 8.87
10 Spanish_Castilla_La_Mancha 8.91
11 Spanish_Cantabria 9.25
12 French 10.24
13 Southwest_French 10.46
14 Spanish_Aragon 11.37
15 Tuscan 14.17
16 West_German 15.19
17 South_Dutch 15.5
18 Serbian 17.17
19 Romanian 17.44
20 Austrian 18.14
Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 90.5% Portuguese + 9.5% Southwest_Russian @ 3.82
2 86.5% Portuguese + 13.5% Croatian @ 3.84
3 91.8% Portuguese + 8.2% Erzya @ 3.86
4 89.3% Portuguese + 10.7% Ukrainian @ 3.86
5 86.3% Portuguese + 13.7% Moldavian @ 3.86
6 90.8% Portuguese + 9.2% Estonian_Polish @ 3.86
7 82.5% Portuguese + 17.5% Serbian @ 3.87
8 91% Portuguese + 9% Belorussian @ 3.91
9 91.4% Portuguese + 8.6% Kargopol_Russian @ 3.92
10 91% Portuguese + 9% Ukrainian_Belgorod @ 3.95
11 92.1% Portuguese + 7.9% Lithuanian @ 3.98
12 89.4% Portuguese + 10.6% Ukrainian_Lviv @ 3.99
13 84.4% Portuguese + 15.6% Bulgarian @ 3.99
14 91.1% Portuguese + 8.9% Russian_Smolensk @ 3.99
15 83.3% Portuguese + 16.7% Romanian @ 4
16 89.3% Portuguese + 10.7% South_Polish @ 4
17 90.5% Portuguese + 9.5% Polish @ 4.06
18 92.1% Portuguese + 7.9% East_Finnish @ 4.09
19 73.5% Spanish_Valencia + 26.5% Serbian @ 4.1
20 85.6% Portuguese + 14.4% Hungarian @ 4.11
north atlantic- 28.71Quote:
Originally Posted by J. Ketch
Baltic-33.25
west med- 15.85
West Asian- 6.84
East Med -12.81
Red Sea -1.71
South Asian -
East Asian -
Siberian-0.67
Armerindian-
Oceanian-0.15
North African-
Sub-Saharan-