Bueno, me voy a dormir.
Buenas noches y boa noite.
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Bueno, me voy a dormir.
Buenas noches y boa noite.
Estaba creando un kit del bronce español (Andalucía) muy interesante en conexión con el neolítico y bronce del resto de Europa y encontré que tiene match con el neolítico de Marruecos en sus muestras antiguas no en Deep Dive.
https://1.bp.blogspot.com/-7lng78yOY...pulations.jpeg
https://1.bp.blogspot.com/-Ydnjscvto...Marruecos.jpeg
Parece que el neolítico de Europa y particularmente el de Iberia llega hasta el norte de África.
Este kit que he creado del bronce que ya publicaré en Iberia Ancestral también obtiene match con una muestra siciliana pero es una muestra que es atípica en Sicilia
https://1.bp.blogspot.com/-juKNNWUoZ...BronzeAge.jpeg
En este caso una muestra del bronce español está obteniendo correspondencia con una muestra siciliana pero atípica en Sicilia y con una muestra norte africana que parece de una migración desde Europa hasta el Norte de África más que a la inversa y curiosamente con unas distancias hacia Iberia similares a las que obtenemos con las coordenadas últimas que se han publicado aquí de G25 con la muestra antigua de Norte África y que si realmente es como esta muestra del neolítico de Marruecos como para no obtener correspondencia.
F por mis 30 euros, me duele decirlo pero defcon tenia razón. Como lo veis?
https://i.gyazo.com/fdbdce2f5a713937...4e7d49161c.png
TLD.Quote:
Originally Posted by Spaniard 2.0
¿He de ser sincero, o prefieres que te mienta?:)Quote:
Originally Posted by Spaniard 2.0
¿Qué es TLD?Quote:
Originally Posted by Defcon2
Creo que es Te Lo Dije xddQuote:
Originally Posted by gixajo
Podriamos mostrar nuestros resultados de calculadoras que demuestran nuestra poca blanquitud, venga empiezo:Quote:
Originally Posted by Rocinante
96% Europeo y 4% Bantu.
90.5% Europeo y 9.5% Mozabite Berber.
96.5% Europeo y 3.5% Austroasiatico.
Code:Mixed Mode Population Sharing:
# Primary Population (source) Secondary Population (source) Distance
1 96.5% Spanish_Aragon + 3.5% Yoruban @ 3.42
2 96.3% Spanish_Aragon + 3.7% Mandenka @ 3.43
3 96.3% Spanish_Aragon + 3.7% Bantu_S.W. @ 3.48
4 96.2% Spanish_Aragon + 3.8% Bantu_S.E. @ 3.5
5 96.1% Spanish_Aragon + 3.9% Biaka_Pygmy @ 3.58
6 96% Spanish_Aragon + 4% Luhya @ 3.66
7 96% Spanish_Aragon + 4% Bantu_N.E. @ 3.67
8 96.1% Spanish_Aragon + 3.9% Mbuti_Pygmy @ 3.84
9 90.5% Spanish_Aragon + 9.5% Mozabite_Berber @ 3.9
10 91% Spanish_Aragon + 9% Tunisian @ 4.02
11 96.1% Spanish_Aragon + 3.9% San @ 4.05
12 90.9% Spanish_Aragon + 9.1% Algerian @ 4.07
13 91.3% Spanish_Aragon + 8.7% Moroccan @ 4.17
14 97.4% Spanish_Castilla_La_Mancha + 2.6% Yoruban @ 4.28
15 97.3% Spanish_Castilla_La_Mancha + 2.7% Mandenka @ 4.34
16 97.4% Spanish_Castilla_La_Mancha + 2.6% Bantu_S.W. @ 4.42
17 97.4% Spanish_Castilla_La_Mancha + 2.6% Bantu_S.E. @ 4.45
18 96.3% Spanish_Aragon + 3.7% Sandawe @ 4.51
19 97.5% Spanish_Castilla_La_Mancha + 2.5% Biaka_Pygmy @ 4.55
20 96.5% Spanish_Aragon + 3.5% Austroasiatic_Ho @ 4.56
http://g25vahaduo.genetics.ovh/Marqu...ke_%20calc.htm
Target: Xabier_scaled
Distance: 2.0063% / 0.02006308
31.8 Scandinavia
31.6 South_West_European
22.6 North_and_central_European
6.6 North_African
6.4 Anatolia_Caucasus_Iranian_Plateau
0.8 North_central_Asia
0.2 Océania
En la que Xabi puso soy übernegro:Quote:
Originally Posted by Defcon2
Target: Alejandro_scaled
Distance: 2.2106% / 0.02210565
33.4 South_West_European
29.8 Scandinavia
12.4 East_European
11.8 Anatolia_Caucasus_Iranian_Plateau
8.2 North_African
3.4 Middle_East
1.0 Africa_East
No estoy seguro si contar como blanco el South West European, es dudoso, pero bueno, digamos que si.
Distance: 1.2772% / 0.01277192 | ADC: 0.25x
53.6 TUR_Barcin_N
34.8 Yamnaya_RUS_Samara
5.6 LUX_Loschbour
5.4 MAR_Taforalt
0.6 Levant_Natufian
übernegro aqui tambien, en unscaled:
Code:TUR_Barcin_N,0.0103318,0.0177364,0.0009364,-0.0313182,0.0165864,-0.01735,-0.0018545,-0.0030045,0.0177136,0.0443091,0.0049091,0.0079273,-0.0157773,0.0003409,-0.0309318,-0.0076864,0.0178773,0.0015682,0.0108955,-0.0077955,-0.0114,0.0046682,-0.0033455,-0.0026273,-0.0036273
Yamnaya_RUS_Samara,0.0110333,0.0087667,0.0113222,0.0357111,-0.0093333,0.0161556,0.0015333,-0.0011111,-0.0273333,-0.04,0.0011222,2.22e-05,-0.0018111,-0.0169333,0.0269778,0.0118889,-0.0009444,-0.0014111,-0.0030556,0.0110111,-0.0025444,0.0006111,0.0089778,0.0154444,-0.0037889
LUX_Loschbour,0.0117,0.0105,0.0535,0.0595,0.0534,0.02,0.0026,0.016,0.0472,0.0125,-0.0128,-0.0108,0.0168,-0.0054,0.0485,0.048,0.0062,0.0053,-0.0106,0.0522,0.0962,0.0155,-0.0482,-0.1458,0.0192
MAR_Taforalt,-0.01668,0.00802,-0.00644,-0.0265,0.00898,-0.0198,-0.03004,0.00798,0.07598,0.00192,0.01288,-0.02124,0.05026,-0.0373,0.05246,-0.02738,0.00404,-0.05218,-0.1133,0.03118,-0.0302,-0.10152,0.05924,-0.01142,0.01374
Levant_Natufian,0.0018,0.0141,-0.01,-0.04295,0.01,-0.0285,-0.0109,-0.0076,0.0559,0.0011,0.02045,-0.01485,0.05145,0.00155,0.0113,0.0068,-0.01185,-8e-04,-0.01755,0.03265,0.0012,1e-04,-0.00295,-0.0037,0.00525
IRN_Ganj_Dareh_N,0.00378,0.00654,-0.04112,0.00146,-0.03986,0.00844,0.00728,-0.00052,-0.04036,-0.02986,-0.00174,-0.00108,0.00302,-0.00456,0.02332,0.04234,-0.00416,0.00542,0.01086,-0.02672,0.00686,-0.02332,-0.00898,-0.03264,0.01856
RUS_Samara_HG,0.0105,0.0048,0.0301,0.0639,-0.0026,0.0195,-0.0056,-0.0102,-0.0064,-0.0499,0.0088,-0.0126,0.0176,-0.0265,0.0152,0.0098,-0.0045,-4e-04,-0.0058,0.0072,-0.0095,0.0203,0.0079,-0.022,-0.0076
GEO_CHG,0.008,0.0101,-0.0221,-0.001,-0.028,0.0074,0.0106,-8e-04,-0.0627,-0.041,-0.0039,0.016,-0.0369,0.0032,0.0196,-0.0247,0.0183,-0.0106,-0.0177,0.0278,0.0271,-0.0057,0.0053,-0.0214,-0.0017
CMR_Shum_Laka_8000BP,-0.05295,0.00545,0.00395,0.00815,-0.0021,0.0018,0.0529,-0.0433,0.00675,-0.00385,-4e-04,-0.0162,-0.0137,-0.0038,0.00155,-0.00135,0.00975,0.0137,-0.00095,-0.00325,-0.0028,-3e-04,0.0013,-0.00075,-0.00175
BRA_LapaDoSanto_9600BP,0.00446,-0.03048,0.03198,0.0305,-0.03758,-0.00632,-0.12112,-0.14734,-0.00666,-0.01012,0.00138,-0.00218,0.00028,0.0127,-0.00484,0.00486,0.00498,-0.001,0.00214,0.00298,-0.00084,0.00644,-0.00216,-0.0036,0.00118
RUS_MA1,0.0069,-0.0025,0.0105,0.0576,-0.0224,0.0162,-0.0206,-0.0247,-0.0097,-0.0381,0.0184,-0.0064,0.0103,-0.0331,0.0105,0.0159,-0.0059,0,-0.0029,5e-04,-0.0219,0.0023,0.0092,-0.0069,-0.0012
IRN_Shahr_I_Sokhta_BA2,0.00384,-0.00322,-0.04508,0.02942,-0.03404,0.0204,0.0027,0.00182,0.00278,0.0037,-0.0032,0.00528,-0.00124,-0.00232,0.00726,0.00738,-0.00182,0.00198,0.0013,-0.0114,0.00238,-0.01012,-0.00096,-0.00988,0.0011
Target: gixajo_scaledQuote:
Originally Posted by Spaniard 2.0
Distance: 1.4801% / 0.01480052
30.2 South_West_European:Basque
20.8 South_West_European:Spanish_Castilla_Y_Leon
14.2 North_British_Isles:Scottish
13.6 South_West_European:French_South
12.2 South_West_European:Sardinian
3.6 East_European:Russian_Smolensk
2.0 Anatolia_Caucasus_Iranian_Plateau:Georgian_Imer
1.6 Middle_East:BedouinB
1.4 Middle_East:Yemenite_Mahra
0.2 Central_African:Mbuti
0.2 Océania:Melanesia_Papuan
Target: gixajo_scaled
Distance: 1.5616% / 0.01561591 | ADC: 0.25x
43.2 South_West_European:French_South
36.8 South_West_European:Spanish_Castilla_Y_Leon
9.4 South_West_European:Basque
5.2 North_Italy:Italian_Tuscany
5.2 North_Italy:North_Italy
0.2 Océania:Melanesia_Papuan
**********************************************
Target: gixajo_dad_scaled
Distance: 1.5216% / 0.01521561
41.8 North_British_Isles:Scottish
41.0 South_West_European:Sardinian
8.0 South_West_European:Spanish_Castilla_Y_Leon
3.8 Anatolia_Caucasus_Iranian_Plateau:Lebanese_Druze
3.8 North_African:Saharawi
0.8 South_Africa:Khomani_San
0.6 Middle_East:BedouinB
0.2 Océania:Melanesia_Papuan
Target: gixajo_dad_scaled
Distance: 1.7614% / 0.01761367 | ADC: 0.25x
62.4 South_West_European:Spanish_Castilla_Y_Leon
12.8 South_West_European:Sardinian
8.8 North_Italy:Italian_Tuscany
7.6 North_Italy:North_Italy
6.0 South_West_European:Basque
2.0 South_West_European:French_South
0.4 South_Africa:Khomani_San
**********************************************
Target: gixajo_mom_scaled
Distance: 1.6810% / 0.01681048
56.0 South_West_European:Basque
22.8 South_West_European:Spanish_Castilla_Y_Leon
9.2 North_and_central_European:English
3.6 Anatolia_Caucasus_Iranian_Plateau:Lebanese_Druze
3.4 Scandinavia:Icelandic
3.0 East_European:Russian_Smolensk
1.8 North_African:Mozabite
0.2 South_Africa:Khomani_San
Target: gixajo_mom_scaled
Distance: 1.7267% / 0.01726667 | ADC: 0.25x
47.4 South_West_European:Spanish_Castilla_Y_Leon
40.4 South_West_European:Basque
12.2 North_and_central_European:English
Target: gixajoQuote:
Originally Posted by Rocinante
Distance: 2.4322% / 0.02432205
52.4 TUR_Barcin_N
33.0 Yamnaya_RUS_Samara
9.4 LUX_Loschbour
5.0 MAR_Taforalt
0.2 CMR_Shum_Laka_8000BP
Target: gixajo_dad
Distance: 2.3556% / 0.02355619
57.8 TUR_Barcin_N
31.2 Yamnaya_RUS_Samara
5.8 LUX_Loschbour
4.8 MAR_Taforalt
0.2 CMR_Shum_Laka_8000BP
0.2 IRN_Shahr_I_Sokhta_BA2
Target: gixajo_mom
Distance: 3.2673% / 0.03267304
51.0 TUR_Barcin_N
34.0 Yamnaya_RUS_Samara
9.4 LUX_Loschbour
4.8 MAR_Taforalt
0.8 IRN_Shahr_I_Sokhta_BA2
Tienes que poner penalización, ponla hasta que no se dispare la distancia.Quote:
Originally Posted by gixajo
Aquí pongo un nuevo modelo para peninsulares, con algunas de mis mierdosas medias, y algunas refrencias MENAs y SSAs que tengo por ahí a ver que sale.
La media Ibérica es nueva, así la probamos. Con mis antecedentes de medias Ibéricas, seguro que nos sale de todo menos Ibérico.:picard1:
Iberian:F,=NorthWest_Iberia,+North_Iberia,+NorthEa st_Iberia,+SouthWest_Iberia,+SouthEast_Iberia,
Berber=MAR_ERR,+MAR_TIZ,+Tunisia_Chen,+Tunisia_Sen
Amerindian=Quechua+Zapotec+North_Amerindian
Arabian,=Saudi,+(Yemenite_Al_Jawf,+Yemenite_Mahra, )
Turkish,=Turkish_Northwest,+Turkish_South,+Turkish _Southwest,+Turkish_Central,
SSA:B,=Pemba+ZAF,+Yoruba,
Indian,=Gujar_India,+Uttar_Pradesh,+Gujarati,
Iranian=Iranian_Fars,+Iranian_Lor,
Levantine=(Levant_Yehud_IBA,+Levant_Ashkelon_IA1,) +Palestinian_Beit_Sahour
Chinese:Han,=Han_Shandong,+Han_Shanghai,+Han_Henan ,
Code:Iberian:F,0.1127253,0.1464038,0.0406260,-0.0010165,0.0449500,-0.0025714,-0.0027779,0.0015101,0.0246433,0.0325341,-0.0026677,0.0075804,-0.0142454,-0.0123391,0.0108006,-0.0001258,-0.0041015,-0.0006735,-0.0030864,-0.0014932,0.0036968,-0.0019572,-0.0022307,-0.0031847,0.0014280
Berber,-0.06548320,0.13410613,-0.00816420,-0.07538218,0.02581348,-0.03472953,-0.02944445,0.00831648,0.06752790,0.02796198,0.00707855,-0.00796418,0.02308645,-0.01552258,0.01677808,-0.01294335,-0.00285148,-0.02166338,-0.04415378,0.01019313,-0.01565483,-0.03933808,0.02467100,-0.00293920,0.00493865
Arabian,0.05059585,0.13995270,-0.06513990,-0.11723870,-0.00940130,-0.04997380,-0.01229238,-0.00808298,0.05608075,-0.00410653,0.01556333,-0.03192903,0.06243548,0.00350273,0.00455410,0.02525745,-0.02140830,0.00386218,0.00015448,0.02687405,0.01263658,0.01614353,-0.00905183,0.00697205,-0.00832413
SSA:B,-0.6242421,0.0639936,0.0215130,0.0145326,0.0028094,0.0117579,-0.0161961,0.0216721,-0.0308661,0.0149323,0.0037054,0.0018871,-0.0006642,0.0019913,-0.0064682,0.0041677,-0.0048993,0.0149827,-0.0066659,0.0019943,0.0010692,0.0020188,0.0011803,0.0001642,0.0012754
Turkish,0.09640925,0.06378650,-0.02045625,-0.03320250,-0.02308875,-0.01185625,0.00550450,-0.00071725,-0.01859325,-0.00091900,-0.00156250,0.00106575,-0.00297950,0.00045875,-0.00413350,0.00206750,0.00507075,0.00100425,0.00121175,-0.00008175,-0.00320775,0.00049575,-0.00238325,0.00046100,0.00063825
Levantine,0.08970675,0.15220263,-0.04970895,-0.08630155,-0.00821318,-0.02909195,-0.00308430,-0.00400938,0.01374138,0.01814400,0.00735825,-0.00407470,0.00702445,0.00651988,-0.00855050,0.00501358,-0.00108388,0.00259705,0.00276545,0.00053945,-0.00321313,0.00803751,0.00093205,0.00186763,0.00126450
Iranian,0.08819270,0.10113475,-0.06562890,-0.02964950,-0.04627995,-0.00295545,0.00468410,-0.00464850,-0.02821040,-0.01373640,0.00216160,-0.00098600,0.00418345,-0.00166035,0.00498295,0.01070660,-0.00466300,0.00281875,0.00398130,-0.00991535,-0.00093175,-0.00418420,-0.00039000,-0.00518885,0.00490625
Chinese,0.02574093,-0.44672400,0.00416373,-0.06463350,0.05351190,0.02476773,0.00551737,0.00207600,-0.01316077,0.00126697,-0.07530797,-0.01189107,0.01126457,-0.00655843,-0.00550930,0.00257083,0.00261210,0.00151403,0.00065540,-0.00996537,0.01280200,0.00725607,0.01069883,-0.00123393,-0.00250313
Indian,0.05425723,-0.05224190,-0.14531813,0.10516810,-0.07525927,0.06000990,0.00056697,0.01146813,0.02995450,0.01783713,-0.00570163,-0.00016823,-0.00002613,0.00110113,0.00060693,-0.00117137,-0.00384817,0.00066970,0.00074737,-0.00379923,0.00015303,-0.00049060,0.00129760,0.00150510,-0.00206300
Amerindian,0.05436967,-0.29863367,0.11187933,0.08561167,-0.10229633,-0.01710567,-0.24649467,-0.29544133,-0.00721667,-0.01559333,-0.00024900,-0.00372400,0.00231900,0.01401467,-0.00821100,0.00129067,0.00334633,0.00021767,0.00469700,0.00300767,0.00010800,0.00123633,0.00109267,0.00337033,0.00195233
Bueno, tampoco es para tanto.
Target: gixajo_scaled
Distance: 1.9047% / 0.01904680
100.0 Iberian
0.0 Amerindian
0.0 Arabian
0.0 Berber
0.0 Chinese
0.0 India
0.0 Iran
0.0 Levantine
0.0 SSA
0.0 Turkish
Target: gixajo_dad_scaled
Distance: 2.0543% / 0.02054268
95.0 Iberian
3.6 Levantine
1.4 Berber
0.0 Amerindian
0.0 Arabian
0.0 Chinese
0.0 India
0.0 Iran
0.0 SSA
0.0 Turkish
Target: gixajo_mom_scaled
Distance: 2.6517% / 0.02651716
100.0 Iberian
0.0 Amerindian
0.0 Arabian
0.0 Berber
0.0 Chinese
0.0 India
0.0 Iran
0.0 Levantine
0.0 SSA
0.0 Turkish
Distancias:
Spoiler!
Con las del negro-med
Target: Xabier
Distance: 2.4061% / 0.02406055 | ADC: 0.25x
51.8 TUR_Barcin_N
40.2 Yamnaya_RUS_Samara
4.2 MAR_Taforalt
3.8 LUX_Loschbour
Con las del ario-med
Target: Xabier_scaled
Distance: 2.7647% / 0.02764717
93.0 Iberian
7.0 Turkish
Überaryan, aprox. de 20% de ANE y 40% de ario.Quote:
Originally Posted by Spaniard 2.0
Aryan-Med.
Target: Pedro_scaledQuote:
Originally Posted by gixajo
Distance: 2.2143% / 0.02214258
90.0 Iberian:F
4.2 Berber
2.4 SSA:B
2.4 Iranian
1.0 Amerindian
New model with new references:
https://www.theapricity.com/forum/sh...85#post6867185
Rumiante:
Target: Juan
Distance: 3.2143% / 0.03214277 | ADC: 0.25x
59.2 TUR_Barcin_N
29.6 Yamnaya_RUS_Samara
4.4 IRN_Shahr_I_Sokhta_BA2
4.2 MAR_Taforalt
2.6 LUX_Loschbour
Saco más gitano que de Loschbour, ni Camarón, el Cigala e Isabel Pantoja.
Bixajo:
Target: Juan_scaled
Distance: 2.8226% / 0.02822595
91.6 Iberian
5.2 Berber
3.2 Indian
Recuerda que ya el yamnaya es como 15% WHG, ahí te está quitando bastante, utiliza 0.5 a ver.Quote:
Originally Posted by Defcon2
Target: JuanQuote:
Originally Posted by Rocinante
Distance: 3.5347% / 0.03534730 | ADC: 0.5x
63.6 TUR_Barcin_N
30.4 Yamnaya_RUS_Samara
5.2 IRN_Shahr_I_Sokhta_BA2
0.8 MAR_Taforalt
:yuck:
Te disparo la distancia. Olvidalo, esa si que no te sirvio.Quote:
Originally Posted by Defcon2
Unscaled es bastante italiano comparado con escala.Quote:
Originally Posted by Rocinante
Target: Juan
Distance: 3.1919% / 0.03191896
58.4 TUR_Barcin_N
31.2 Yamnaya_RUS_Samara
5.8 MAR_Taforalt
4.6 WHG
Target: Juan_scaled
Distance: 4.8997% / 0.04899692
54.8 TUR_Barcin_N
29.4 Yamnaya_RUS_Samara
9.8 WHG
6.0 MAR_Taforalt
Que distancias mas grandes tío... Madre mía.Quote:
Originally Posted by Defcon2
Cuando tu usas el K15 o K36 de gedmatch, cuántos SNP te genotipan? A mi aprox. unos ~160.000 con mi nueva raw fusionada, y a tí?
Entre 50000 y 60000.
https://i.imgur.com/IUoQSKP.png
https://i.imgur.com/Gzl1rwg.png
Que dices amigo... Ahi tienes posiblemente la respuesta del porque sacas unas distancias y (a veces) unos resultados tan extraños. Yo se que mi raw data de ahora es muy potente por haber mezclado tantos SNPs diferentes, pero no esta demas: 179867 SNPs used in this evaluation, este en mi caso del K15.Quote:
Originally Posted by Defcon2
Es muy extraño, has intentado pasar ese archivo y convertirlo en .CSV? No creo que haga milagros pero a saber si hace algo mejor, o tambien usar el Admixture Studio que esta de puta madre, es como un Gedmatch pero de escritorio y actualizado, y esa propia APP te dice en cada calculadora la ratio de genotipacion, a mi siempre me marca un ~97.5%, que esta muy bien, creo que a partir de ~90% esta bien. Intentalo a ver.
En el k36 yo tengo: 52241 SNPs used in this evaluation
K15:Quote:
Originally Posted by Rocinante
-----------------------------------------------------------
-- DIY Dodecad v 2.1 --------------------------------------
------------------------------------------------@@@@@@@----
-- Copyright (c) 2011 Dienekes Pontikos -------@@-----@@---
------------------------------------------------------@@---
-- More information: ---------------------------@@@@@@@----
----- Dienekes' Anthropology Blog -------------@@----------
-------- http://dienekes.blogspot.com ---------@@----------
----- The Dodecad Ancestry Project ------------@@@@@@@@@---
-------- http://dodecad.blogspot.com ----------------------
-----------------------------------------------------------
15 ancestral populations
184719 total SNPs
161 flipped SNPs
21410 heterozygous SNPs
429 no-calls
125024 absent SNPs
0.320844 genotype rate
mode genomewide
125453 SNPs missing (no-call or absent)
250 dQ: 3.022E-04 goal: 1.000E-07
500 dQ: 1.197E-04 goal: 1.000E-07
750 dQ: 4.688E-05 goal: 1.000E-07
1000 dQ: 2.052E-05 goal: 1.000E-07
1250 dQ: 1.528E-05 goal: 1.000E-07
1500 dQ: 1.120E-05 goal: 1.000E-07
1750 dQ: 8.245E-06 goal: 1.000E-07
2000 dQ: 6.147E-06 goal: 1.000E-07
2250 dQ: 4.657E-06 goal: 1.000E-07
2500 dQ: 3.865E-06 goal: 1.000E-07
2750 dQ: 3.291E-06 goal: 1.000E-07
3000 dQ: 2.830E-06 goal: 1.000E-07
3250 dQ: 2.455E-06 goal: 1.000E-07
3500 dQ: 2.145E-06 goal: 1.000E-07
3750 dQ: 1.888E-06 goal: 1.000E-07
4000 dQ: 1.671E-06 goal: 1.000E-07
4250 dQ: 1.488E-06 goal: 1.000E-07
4500 dQ: 1.331E-06 goal: 1.000E-07
4750 dQ: 1.195E-06 goal: 1.000E-07
5000 dQ: 1.078E-06 goal: 1.000E-07
5250 dQ: 9.760E-07 goal: 1.000E-07
5500 dQ: 8.863E-07 goal: 1.000E-07
5750 dQ: 8.072E-07 goal: 1.000E-07
6000 dQ: 7.371E-07 goal: 1.000E-07
6250 dQ: 6.748E-07 goal: 1.000E-07
6500 dQ: 6.191E-07 goal: 1.000E-07
6750 dQ: 5.692E-07 goal: 1.000E-07
7000 dQ: 5.244E-07 goal: 1.000E-07
7250 dQ: 4.839E-07 goal: 1.000E-07
7500 dQ: 4.472E-07 goal: 1.000E-07
7750 dQ: 4.140E-07 goal: 1.000E-07
8000 dQ: 3.837E-07 goal: 1.000E-07
8250 dQ: 3.561E-07 goal: 1.000E-07
8500 dQ: 3.309E-07 goal: 1.000E-07
8750 dQ: 3.078E-07 goal: 1.000E-07
9000 dQ: 2.866E-07 goal: 1.000E-07
9250 dQ: 2.671E-07 goal: 1.000E-07
9500 dQ: 2.492E-07 goal: 1.000E-07
9750 dQ: 2.327E-07 goal: 1.000E-07
10000 dQ: 2.174E-07 goal: 1.000E-07
10250 dQ: 2.033E-07 goal: 1.000E-07
10500 dQ: 1.902E-07 goal: 1.000E-07
10750 dQ: 1.781E-07 goal: 1.000E-07
11000 dQ: 1.668E-07 goal: 1.000E-07
11250 dQ: 1.564E-07 goal: 1.000E-07
11500 dQ: 1.466E-07 goal: 1.000E-07
11750 dQ: 1.376E-07 goal: 1.000E-07
12000 dQ: 1.292E-07 goal: 1.000E-07
12250 dQ: 1.213E-07 goal: 1.000E-07
12500 dQ: 1.140E-07 goal: 1.000E-07
12750 dQ: 1.071E-07 goal: 1.000E-07
13000 dQ: 1.007E-07 goal: 1.000E-07
13029 total iterations
9.999E-08 final dQ
----------------------------
FINAL ADMIXTURE PROPORTIONS:
----------------------------
19.45% North_Sea
31.42% Atlantic
2.33% Baltic
2.58% Eastern_Euro
25.54% West_Med
0.04% West_Asian
9.69% East_Med
2.29% Red_Sea
1.96% South_Asian
0.72% Southeast_Asian
0.00% Siberian
0.00% Amerindian
0.70% Oceanian
0.15% Northeast_African
3.13% Sub-Saharan
CPU time = 358.09 sec
Admixture calculation finished!
Uff tio... Vaya puta mierda. Que version tienes el chip? Tienes mas de una raw data para que puedas fusionar y asi tener una mas potente? Porque eso literal es lo que te esta jodiendo, el tener tan poca genotipacion.Quote:
Originally Posted by Defcon2
Pues el v5, hay sospechas de que la raw data de 23andme es una mierda según he leído, aunque también me han dicho que apenas cambiará si me hiciese la prueba con otra compañía. Solo tengo esta, hasta que no pase unos años y mejoren las estimaciones o añadan nuevas muestras no me haré otra prueba.Quote:
Originally Posted by Rocinante
Ahora mismo, no cambiara en nada desde el cromosoma 1 al 22, que es lo que todos los chips de ILLUMINA traen hoy en dia, y todas las compañias principales trabajan con eso. Mi segunda raw data con MH es la misma que la tuya, y genotipaba pues casi igual a ti, tarde en darme cuenta de esto y lo que decidi fue fusionar las raw datas con los distintos SNPs, y ahora me genotipa mejor que nunca. Lo que cada compañia tiene diferente es el cromosoma X, el Y y el mtDNA (que cada compañia tiene sus propios SNPs diferentes para esta).Quote:
Originally Posted by Defcon2
Lo mas probable es que por menos de 1/3 de genotipacion, tomes tus resultados con un margen de error no tan grande, ese % gitano que te sale puede ser mas ruido que otra cosa o mucho menor (que seria lo logico).
Igualmente intenta pasarlo a .CSV, que nada pierdes por hacerlo. Abre tu archivo .txt con excel y le das guardar como en fotmato comma separated (.CSV). Recomiendo a Xabi a hacer lo mismo que vi que tiene un caso parecido.
Mejora un poquito pero es irrelevante.Quote:
Originally Posted by Rocinante
Code:-----------------------------------------------------------
-- DIY Dodecad v 2.1 --------------------------------------
------------------------------------------------@@@@@@@----
-- Copyright (c) 2011 Dienekes Pontikos -------@@-----@@---
------------------------------------------------------@@---
-- More information: ---------------------------@@@@@@@----
----- Dienekes' Anthropology Blog -------------@@----------
-------- http://dienekes.blogspot.com ---------@@----------
----- The Dodecad Ancestry Project ------------@@@@@@@@@---
-------- http://dodecad.blogspot.com ----------------------
-----------------------------------------------------------
15 ancestral populations
184719 total SNPs
590 flipped SNPs
21410 heterozygous SNPs
0 no-calls
125024 absent SNPs
0.323167 genotype rate
mode genomewide
125024 SNPs missing (no-call or absent)
250 dQ: 3.019E-04 goal: 1.000E-07
500 dQ: 1.205E-04 goal: 1.000E-07
750 dQ: 4.745E-05 goal: 1.000E-07
1000 dQ: 2.004E-05 goal: 1.000E-07
1250 dQ: 1.497E-05 goal: 1.000E-07
1500 dQ: 1.110E-05 goal: 1.000E-07
1750 dQ: 8.236E-06 goal: 1.000E-07
2000 dQ: 6.178E-06 goal: 1.000E-07
2250 dQ: 4.696E-06 goal: 1.000E-07
2500 dQ: 3.929E-06 goal: 1.000E-07
2750 dQ: 3.353E-06 goal: 1.000E-07
3000 dQ: 2.891E-06 goal: 1.000E-07
3250 dQ: 2.515E-06 goal: 1.000E-07
3500 dQ: 2.205E-06 goal: 1.000E-07
3750 dQ: 1.947E-06 goal: 1.000E-07
4000 dQ: 1.730E-06 goal: 1.000E-07
4250 dQ: 1.546E-06 goal: 1.000E-07
4500 dQ: 1.388E-06 goal: 1.000E-07
4750 dQ: 1.252E-06 goal: 1.000E-07
5000 dQ: 1.134E-06 goal: 1.000E-07
5250 dQ: 1.032E-06 goal: 1.000E-07
5500 dQ: 9.411E-07 goal: 1.000E-07
5750 dQ: 8.613E-07 goal: 1.000E-07
6000 dQ: 7.905E-07 goal: 1.000E-07
6250 dQ: 7.274E-07 goal: 1.000E-07
6500 dQ: 6.710E-07 goal: 1.000E-07
6750 dQ: 6.203E-07 goal: 1.000E-07
7000 dQ: 5.747E-07 goal: 1.000E-07
7250 dQ: 5.334E-07 goal: 1.000E-07
7500 dQ: 4.959E-07 goal: 1.000E-07
7750 dQ: 4.619E-07 goal: 1.000E-07
8000 dQ: 4.308E-07 goal: 1.000E-07
8250 dQ: 4.024E-07 goal: 1.000E-07
8500 dQ: 3.764E-07 goal: 1.000E-07
8750 dQ: 3.525E-07 goal: 1.000E-07
9000 dQ: 3.305E-07 goal: 1.000E-07
9250 dQ: 3.102E-07 goal: 1.000E-07
9500 dQ: 2.915E-07 goal: 1.000E-07
9750 dQ: 2.741E-07 goal: 1.000E-07
10000 dQ: 2.581E-07 goal: 1.000E-07
10250 dQ: 2.431E-07 goal: 1.000E-07
10500 dQ: 2.293E-07 goal: 1.000E-07
10750 dQ: 2.163E-07 goal: 1.000E-07
11000 dQ: 2.043E-07 goal: 1.000E-07
11250 dQ: 1.931E-07 goal: 1.000E-07
11500 dQ: 1.825E-07 goal: 1.000E-07
11750 dQ: 1.727E-07 goal: 1.000E-07
12000 dQ: 1.635E-07 goal: 1.000E-07
12250 dQ: 1.549E-07 goal: 1.000E-07
12500 dQ: 1.468E-07 goal: 1.000E-07
12750 dQ: 1.392E-07 goal: 1.000E-07
13000 dQ: 1.320E-07 goal: 1.000E-07
13250 dQ: 1.253E-07 goal: 1.000E-07
13500 dQ: 1.190E-07 goal: 1.000E-07
13750 dQ: 1.130E-07 goal: 1.000E-07
14000 dQ: 1.074E-07 goal: 1.000E-07
14250 dQ: 1.020E-07 goal: 1.000E-07
14350 total iterations
1.000E-07 final dQ
----------------------------
FINAL ADMIXTURE PROPORTIONS:
----------------------------
19.15% North_Sea
31.40% Atlantic
2.46% Baltic
2.63% Eastern_Euro
25.38% West_Med
0.05% West_Asian
9.84% East_Med
2.28% Red_Sea
1.99% South_Asian
0.91% Southeast_Asian
0.00% Siberian
0.00% Amerindian
0.64% Oceanian
0.13% Northeast_African
3.14% Sub-Saharan
CPU time = 411.89 sec
Admixture calculation finished!
Do i win?
Spoiler!
Si, la verdad es que mejora nada, era lo que me suponia porque ya lo he intentado, pero hombre, nada se perdia por que lo intentaras.Quote:
Originally Posted by Defcon2
Nasbín presumiendo de ser más norteño y tener menos SSA que los egipcios:
https://anthrogenica.com/showthread....l=1#post695762
Cuánto tardará en ser baneado? abro la porra, yo digo que dentro de tres días estará fuera, es decir fecha hasta el día 30 a las 23:59.
Que terco es, impresionante a los niveles que llega el de andar defendiendo lo indefendible, y andar discutiendo a sobremaneras incluso en un foro tan serio como Anthrogenica. Nada, a ese le disparan como le hicieron a GASKA que era lo mismo pero version euskalduna.Quote:
Originally Posted by Defcon2
Yo le saludé ayer en Anthrogenica, y estaba majo, pero al final la cabra tira al monte y ha vuelto con sus obsesiones.Quote:
Originally Posted by Defcon2
Se olvida que él no es la mejor referencia para definir a un Marroquí genéticamente, no está muy en la media general de su país, es poco representativo.
Anthrogenica no es TA,se lo avisé...:picard1:Quote:
Originally Posted by Rocinante