NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Sample GSM491393 Query DataSets for GSM491393
Status Public on Jun 08, 2010
Title Scerev_Sparad_F2_hybrid P3A5
Sample type genomic
 
Channel 1
Source name Scerev+Sparad_gDNA
Organism Saccharomyces cerevisiae
Characteristics reference: S.cerevisiae+S.paradoxus genomic DNA
Extracted molecule genomic DNA
Extraction protocol not provided
Label Cy3
Label protocol not provided
 
Channel 2
Source name P3A5 gDNA
Organism Saccharomyces cerevisiae
Characteristics genotype: F2
Extracted molecule genomic DNA
Extraction protocol not provided
Label Cy5
Label protocol not provided
 
 
Hybridization protocol not provided
Scan protocol Agilent
Description Image: http://smd.stanford.edu/MicroArray/gifs/2008-07/80446.gif
Data processing Agilent Feature Extraction
 
Submission date Dec 28, 2009
Last update date Jun 08, 2010
Contact name Gavin Sherlock
E-mail(s) sherlock@genome.stanford.edu
Phone 650 498 6012
Fax 650 724 3701
URL http://genetics.stanford.edu/~sherlock/
Organization name Stanford University
Department Genetics
Street address 300 Pasteur Drive
City Stanford
State/province CA
ZIP/Postal code 94305-5120
Country USA
 
Platform ID GPL9836
Series (1)
GSE19683 Speciation

Data table header descriptions
ID_REF ID_REF
AGILENT_RAW.G_MEAN_SIGNAL Mean foreground intensity Ch 1.; Type: float; Scale: linear_scale
AGILENT_RAW.G_MEDIAN_SIGNAL Median foreground intensity Ch 1.; Type: float; Scale: linear_scale
AGILENT_RAW.R_MEAN_SIGNAL Mean foreground intensity Ch 2.; Type: float; Scale: linear_scale
AGILENT_RAW.R_MEDIAN_SIGNAL Median foreground intensity Ch 2.; Type: float; Scale: linear_scale
AGILENT_RAW.G_MEAN_BG Mean background intensity Ch 1.; Type: float; Scale: linear_scale; Background
AGILENT_RAW.G_MEDIAN_BG Median background intensity Ch 1.; Type: float; Scale: linear_scale; Background
AGILENT_RAW.R_MEAN_BG Mean background intensity Ch 2.; Type: float; Scale: linear_scale; Background
AGILENT_RAW.R_MEDIAN_BG Median background intensity Ch 2.; Type: float; Scale: linear_scale; Background
AGILENT_RAW.G_NUM_PIX Total number of pixels used to compute feature statistics; ie. Total number of inlier pixels per spot, computed independently for the green channel. The number of inlier pixels are the same in both channels.; Type: integer; Scale: linear_scale
AGILENT_RAW.R_NUM_PIX Total number of pixels used to compute feature statistics; ie. Total number of inlier pixels per spot, computed independently for the red channel. The number of inlier pixels are the same in both channels.; Type: integer; Scale: linear_scale
AGILENT_RAW.G_PIX_SDEV Standard deviation of all inlier pixels per feature; this is computed independently for the green channel; Type: float; Scale: linear_scale
AGILENT_RAW.R_PIX_SDEV Standard deviation of all inlier pixels per feature; this is computed independently for the red channel; Type: float; Scale: linear_scale
AGILENT_RAW.G_BG_NUM_PIX Total number of pixels used to compute Local background statistics per spot; ie. Total number of BG inlier pixels. This number is calculated independently for the green channel.; Type: integer; Scale: linear_scale
AGILENT_RAW.R_BG_NUM_PIX Total number of pixels used to compute Local background statistics per spot; ie. Total number of BG inlier pixels. This number is calculated independently for the red channel.; Type: integer; Scale: linear_scale
AGILENT_RAW.G_BG_PIX_SDEV Standard deviation of all inlier pixels per feature; this is computed independently for the green channel; Type: float; Scale: linear_scale
AGILENT_RAW.R_BG_PIX_SDEV Standard deviation of all inlier pixels per feature; this is computed independently for the red channel; Type: float; Scale: linear_scale
AGILENT_RAW.TOP Top coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
AGILENT_RAW.BOT Bottom coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
AGILENT_RAW.LEFT Left coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
AGILENT_RAW.RIGHT Right coordinate of "box" containing spot in gif image; Type: integer; Scale: linear_scale
AGILENT_RAW.POSITION_X X-coordinate of spot.; Type: float; Scale: linear_scale
AGILENT_RAW.POSITION_Y Y-coordinate of spot.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.BG_PIX_CORRELATION Ratio of estimated feature Background covariance in Red Green space to product of feature Standard Deviation in Red Green space. The covariance of two features measures their tendency to vary together, ie., co-vary. In this case, it is a cumulative quantitation of the tendency of pixels belonging to a particular feature's Background in Red and Green spaces to co-vary.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.BG_SUB_SIG_CORRELATION Ratio of estimated background subtracted feature signal covariance in Red Green space to product of background subtracted feature Standard Deviation in Red Green space.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_BG_SD_USED Standard deviation of background used in green channel; Type: float; Scale: linear_scale; Background
AGILENT_COMPUTED.G_BG_SUB_SIGNAL The net green signal following the subtraction of the background from the raw green mean signal; Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_BG_SUB_SIG_ERROR Propagated standard error as computed on net green background subtracted signal; Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_BG_USED Background value subtracted from the raw mean signal to generate the BG subtracted signal; this value is computed for the green channel. If global BG subtraction is used, the column is identical for every feature in a channel. Options: gBGSubSignal (gMeansignal - gBGUsed); Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_BG_SD_USED Standard deviation of background used in red channel; Type: float; Scale: linear_scale; Background
AGILENT_COMPUTED.R_BG_SUB_SIGNAL The net green signal following the subtraction of the background from the raw red mean signal; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_BG_SUB_SIG_ERROR Propagated standard error as computed on net red background subtracted signal; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_BG_USED Background value subtracted from the raw mean signal to generate the BG subtracted signal; this value is computed for the red channel. If global BG subtraction is used, the column is identical for every feature in a channel. Options: rBGSubSignal (rMeansignal - rBGUsed); Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_DYE_NORM_SIGNAL The dye normalized signal in the green channel.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_DYE_NORM_SIGNAL The dye normalized signal in the red channel.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_IS_GOOD_PM Feature passes gIsWellAboveBG and additionally the gPerfMatchSignal is positive and significant (t-test p value < 0.01) versus its gDelCtrlSignal; Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_IS_LOW_SPECIFICITY gPerfMatchSignal fails positive and significance t-test (0.01) versus its gDelCtrlSignal; and deletion control passes gIsWellAboveBG; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_IS_GOOD_PM Feature passes rIsWellAboveBG and additionally the rPerfMatchSignal is positive and significant (t-test p value < 0.01) versus its rDelCtrlSignal; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_IS_LOW_SPECIFICITY rPerfMatchSignal fails positive and significance t-test (0.01) versus its rDelCtrlSignal; and deletion control passes rIsWellAboveBG; Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_NUM_SAT_PIX Total number of saturated pixels per feature, computed for the green channel; Type: integer; Scale: linear_scale
AGILENT_COMPUTED.R_NUM_SAT_PIX Total number of saturated pixels per feature, computed for the red channel; Type: integer; Scale: linear_scale
AGILENT_COMPUTED.G_PROCESSED_SIGNAL The propagated feature signal in the green channel, used for computation of log ratio; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_PROCESSED_SIGNAL The propagated feature signal in the red channel, used for computation of log ratio; Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_PVAL_FEAT_EQ_BG Log (base 10) of p-value from t-test of significance between green Mean signal and green background.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_PVAL_FEAT_EQ_BG Log (base 10) of p-value from t-test of significance between red Mean signal and red background.; Type: float; Scale: linear_scale
VALUE log10(REDsignal/GREENsignal); Type: float; Scale: linear_scale
AGILENT_COMPUTED.LOG_RATIO_ERROR Error of the log ratio calculated according to the error model chosen.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.PIX_CORRELATION Ratio of estimated feature covariance in Red Green space to product of feature Standard Deviation ion Red Green space. The covariance of two features measures their tendency to vary together, ie., co-vary. In this case, it is a cumultive quantitation of the tendency of pixels belonging to a particular feature in Red and Green spaces to co-vary.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.P_VALUE_LOG_RATIO Log (base 10) of significance level of the Log Ratio computed for a feature.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.DYE_NORM_CORRELATION Dye normalized red and green pixel correlation.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.G_DYE_NORM_ERROR The standard error associated with the green dye normalized signal.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.R_DYE_NORM_ERROR The standard error associated with the red dye normalized signal.; Type: float; Scale: linear_scale
AGILENT_COMPUTED.ERROR_MODEL Indicates the error model that the user chose for feature extraction. Options: 0 (Propagated model chosen by user or by software) | 1 (Universal error model chosen by user of software).; Type: integer; Scale: linear_scale
AGILENT_COMPUTED.G_IS_FOUND A boolean used to flag found (strong) features. The flag is applied independently to the green channel. A feature is considered found if the found spot centroid is within the bounds of the spot deviation limit with respect to corresponding nominal centroid. NOTE: Isfound was previously termed IsStrong.; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.R_IS_FOUND A boolean used to flag found (strong) features. The flag is applied independently to the red channel. A feature is considered found if the found spot centroid is within the bounds of the spot deviation limit with respect to corresponding nominal centroid. NOTE: Isfound was previously termed IsStrong.; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.G_IS_FEAT_NON_UNIF_OL Boolean flag indicating if a feature is a NonUniformity Outlier or not. A feature is non-uniform if the pixel noise of feature exceeds a threshold established for a "uniform" feature. Option 1 (Feature is a non-uniformity outlier in the green channel).; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.R_IS_FEAT_NON_UNIF_OL Boolean flag indicating if a feature is a NonUniformity Outlier or not. A feature is non-uniform if the pixel noise of feature exceeds a threshold established for a "uniform" feature. Option 1 (Feature is a non-uniformity outlier in the red channel).; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.G_IS_FEAT_POPN_OL Boolean flag indicating if a feature is a Population Outlier or not. Probes with replicate features on a microarray are examined using population statistics. A feature is a population outlier if its signal is less than a lower threshold or exceeds an upper threshold determined using the interquartile range (ie., IQR) of the population. Options: 1 (feature is a population outlier in the green channel).; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.R_IS_FEAT_POPN_OL Boolean flag indicating if a feature is a Population Outlier or not. Probes with replicate features on a microarray are examined using population statistics. A feature is a population outlier if its signal is less than a lower threshold or exceeds an upper threshold determined using the interquartile range (ie., IQR) of the population. Options: 1 (feature is a population outlier in the red channel).; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.G_IS_SATURATED Boolean flag indicating if a feature is saturated or not in the green channel. A feature is saturated IF 50% of the pixels in a feature are above the saturation threshold. Options: 1 (saturated) | 0 (not saturated); Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.R_IS_SATURATED Boolean flag indicating if a feature is saturated or not in the red channel. A feature is saturated IF 50% of the pixels in a feature are above the saturation threshold. Options: 1 (saturated) | 0 (not saturated); Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.R_IS_WELL_ABOVE_BG Boolean flag indicating if a feature is well above background or not. Feature passes if RIsPosAndSignif AND RBGSubSignal is greater than 2.6*RBG_SD.Boolean flag indicating if a feature is well above background or not. Feature passes if RIsPosAndSignif AND RBGSubSignal is greater than 2.6*RBG_SD.; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.G_IS_WELL_ABOVE_BG Boolean flag indicating if a feature is well above background or not. Feature passes if RIsPosAndSignif AND RBGSubSignal is greater than 2.6*RBG_SD.Boolean flag indicating if a feature is well above background or not. Feature passes if RIsPosAndSignif AND RBGSubSignal is greater than 2.6*RBG_SD.; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.G_IS_BG_NON_UNIF_OL Boolean flag indicating if a feature's Background is a NonUniformity Outlier or not. A feature is non-uniform if the pixel noise of feature exceeds a threshold established for a "uniform" feature. Option 1 (Feature's background is a non-uniformity outlier in the green channel).; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.R_IS_BG_NON_UNIF_OL Boolean flag indicating if a feature's Background is a NonUniformity Outlier or not. A feature is non-uniform if the pixel noise of feature exceeds a threshold established for a "uniform" feature. Option 1 (Feature's background is a non-uniformity outlier in the red channel).; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.G_IS_BG_POPN_OL Boolean flag indicating if a feature's Background is a Population Outlier or not. Probes with replicate features on a microarray are examined using population statistics. A feature's background is a population outlier if its signal is less than a lower threshold or exceeds an upper threshold determined using the interquartile range (ie., IQR) of the population. Options: 1 (feature Background is a population outlier in the green channel).; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.R_IS_BG_POPN_OL Boolean flag indicating if a feature's Background is a Population Outlier or not. Probes with replicate features on a microarray are examined using population statistics. A feature's background is a population outlier if its signal is less than a lower threshold or exceeds an upper threshold determined using the interquartile range (ie., IQR) of the population. Options: 1 (feature Background is a population outlier in the red channel).; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.G_IS_POS_AND_SIGNIF Boolean flag indicating if the mean signal of a feature is greater than the corresponding background and if this difference is significant. Significance is established via a 2-sided t-test against the user-settable maximum p-value (BGSub tab) Options: 1 (Feature is positive and significant above background in the green channel); Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.R_IS_POS_AND_SIGNIF Boolean flag indicating if the mean signal of a feature is greater than the corresponding background and if this difference is significant. Significance is established via a 2-sided t-test against the user-settable maximum p-value (BGSub tab) Options: 1 (Feature is positive and significant above background in the red channel); Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.IS_USED_BG_ADJUST Boolean flag used to flag features used for computation of global Background offset; Type: boolean; Scale: linear_scale
AGILENT_COMPUTED.IS_NORMALIZATION Boolean flag which indicates if a feaure is used to measure dye bias. Options: 1 (Feature used) | 0 (Feature not used).; Type: boolean; Scale: linear_scale

Data table
ID_REF AGILENT_RAW.G_MEAN_SIGNAL AGILENT_RAW.G_MEDIAN_SIGNAL AGILENT_RAW.R_MEAN_SIGNAL AGILENT_RAW.R_MEDIAN_SIGNAL AGILENT_RAW.G_MEAN_BG AGILENT_RAW.G_MEDIAN_BG AGILENT_RAW.R_MEAN_BG AGILENT_RAW.R_MEDIAN_BG AGILENT_RAW.G_NUM_PIX AGILENT_RAW.R_NUM_PIX AGILENT_RAW.G_PIX_SDEV AGILENT_RAW.R_PIX_SDEV AGILENT_RAW.G_BG_NUM_PIX AGILENT_RAW.R_BG_NUM_PIX AGILENT_RAW.G_BG_PIX_SDEV AGILENT_RAW.R_BG_PIX_SDEV AGILENT_RAW.TOP AGILENT_RAW.BOT AGILENT_RAW.LEFT AGILENT_RAW.RIGHT AGILENT_RAW.POSITION_X AGILENT_RAW.POSITION_Y AGILENT_COMPUTED.BG_PIX_CORRELATION AGILENT_COMPUTED.BG_SUB_SIG_CORRELATION AGILENT_COMPUTED.G_BG_SD_USED AGILENT_COMPUTED.G_BG_SUB_SIGNAL AGILENT_COMPUTED.G_BG_SUB_SIG_ERROR AGILENT_COMPUTED.G_BG_USED AGILENT_COMPUTED.R_BG_SD_USED AGILENT_COMPUTED.R_BG_SUB_SIGNAL AGILENT_COMPUTED.R_BG_SUB_SIG_ERROR AGILENT_COMPUTED.R_BG_USED AGILENT_COMPUTED.G_DYE_NORM_SIGNAL AGILENT_COMPUTED.R_DYE_NORM_SIGNAL AGILENT_COMPUTED.G_IS_GOOD_PM AGILENT_COMPUTED.G_IS_LOW_SPECIFICITY AGILENT_COMPUTED.R_IS_GOOD_PM AGILENT_COMPUTED.R_IS_LOW_SPECIFICITY AGILENT_COMPUTED.G_NUM_SAT_PIX AGILENT_COMPUTED.R_NUM_SAT_PIX AGILENT_COMPUTED.G_PROCESSED_SIGNAL AGILENT_COMPUTED.R_PROCESSED_SIGNAL AGILENT_COMPUTED.G_PVAL_FEAT_EQ_BG AGILENT_COMPUTED.R_PVAL_FEAT_EQ_BG VALUE AGILENT_COMPUTED.LOG_RATIO_ERROR AGILENT_COMPUTED.PIX_CORRELATION AGILENT_COMPUTED.P_VALUE_LOG_RATIO AGILENT_COMPUTED.DYE_NORM_CORRELATION AGILENT_COMPUTED.G_DYE_NORM_ERROR AGILENT_COMPUTED.R_DYE_NORM_ERROR AGILENT_COMPUTED.ERROR_MODEL AGILENT_COMPUTED.G_IS_FOUND AGILENT_COMPUTED.R_IS_FOUND AGILENT_COMPUTED.G_IS_FEAT_NON_UNIF_OL AGILENT_COMPUTED.R_IS_FEAT_NON_UNIF_OL AGILENT_COMPUTED.G_IS_FEAT_POPN_OL AGILENT_COMPUTED.R_IS_FEAT_POPN_OL AGILENT_COMPUTED.G_IS_SATURATED AGILENT_COMPUTED.R_IS_SATURATED AGILENT_COMPUTED.R_IS_WELL_ABOVE_BG AGILENT_COMPUTED.G_IS_WELL_ABOVE_BG AGILENT_COMPUTED.G_IS_BG_NON_UNIF_OL AGILENT_COMPUTED.R_IS_BG_NON_UNIF_OL AGILENT_COMPUTED.G_IS_BG_POPN_OL AGILENT_COMPUTED.R_IS_BG_POPN_OL AGILENT_COMPUTED.G_IS_POS_AND_SIGNIF AGILENT_COMPUTED.R_IS_POS_AND_SIGNIF AGILENT_COMPUTED.IS_USED_BG_ADJUST AGILENT_COMPUTED.IS_NORMALIZATION
1 1155.614 1152 6791.86 6919 69.97544 70 79.71579 80 57 57 79.33063 469.2409 285 285 6.72572 9.605599 147 147 120 120 120.042 147.106 .1047 0 6.72572 -1055.39 710.257 2211 9.6056 -1366.6 953.995 8158.46 -244.502 -132.82 null null null null 0 0 136.6964 92.41963 -3.86695634187893 -3.63458689992382 0 .7056249912 .6574 0 0 164.545 81.8734 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2 2788 2803.5 8579.9 8667.5 68.95668 69 81.28881 81 50 50 142.8764 311.9894 277 277 6.767216 9.290968 147 147 142 142 142.347 147.073 -.017722 0 6.76722 594.242 712.738 2193.76 9.29097 442.539 955.02 8137.36 137.668 42.9184 null null null null 0 0 136.4415 92.22189 -1.51780410138314 -.640749027420465 0 .7091653403 .592433 0 0 165.12 81.9614 1 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0
3 6538.526 6521 12106.86 12101 68.91756 68 81.30108 81 57 57 406.1339 579.2069 279 279 6.155977 8.958881 147 147 162 162 162.651 147.167 -.0740989 0 6.15598 4361.48 833.481 2177.04 8.95888 3996.71 1034.33 8110.15 1010.42 386.873 null null null null 0 0 1010.425 386.8734 -41.6979462768825 -22.9246793686471 -.4169350918 .1421001747 .745818 -2.47557244636998 0 193.092 88.7681 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
4 5990.386 6016 25297.37 25279 69.16846 69 82.30824 81 57 57 335.7974 1162.803 279 279 5.867568 9.12966 146 146 184 184 184.157 146.724 -.0309215 0 5.86757 3830.45 806.962 2159.94 9.12966 17214.6 1968.13 8082.78 887.399 1662.85 null null null null 0 0 887.399 1662.85 -34.2944193552875 -143.18845783554 .2727340154 .08861409396 .58686 -2.68078125828716 0 186.949 168.908 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
5 4898.456 4907 24680.51 24715 69.11111 69 82.01042 82 57 57 380.165 1228.348 288 288 6.016367 9.070565 146 146 205 205 205.438 146.93 .0178562 0 6.01637 2760.51 762.016 2137.95 9.07057 16631.3 1917.31 8049.25 639.527 1603.4 null null null null 0 0 639.5266 1603.397 -20.2446588161884 -139.090433808815 .39918253 .09994620307 .719054 -4.18725365073497 0 176.536 164.547 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
6 4331.017 4333.5 17632.53 17654.5 68.50179 68 82.1362 82 58 58 342.8081 867.1034 279 279 6.107475 9.288506 146 146 226 226 226.218 146.917 .0481227 0 6.10748 2214.68 743.984 2116.33 9.28851 9617.23 1354.63 8015.31 513.075 925.41 null null null null 0 0 513.0755 925.4101 -13.9312873654067 -80.3157508563838 .2561529879 .1291539142 .680371 -1.32484358652722 0 172.359 116.256 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
7 4657.304 4684.5 20402.55 20456 68.65035 69 81.45105 81 56 56 332.1699 1079.128 286 286 6.065443 9.131172 146 146 247 247 247.481 146.953 .116893 0 6.06544 2554.22 754.788 2103.09 9.13117 12413.6 1565.59 7989 591.735 1192.17 null null null null 0 0 591.7349 1192.167 -17.7684743423048 -106.013815631889 .3042098559 .1117274252 .727099 -2.18886759053316 0 174.862 134.361 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
8 5581 5577 9342.473 9434 69.70992 69 80.04962 79 55 55 322.7676 528.5058 262 262 6.377028 9.15142 147 147 268 268 268.602 147.545 -.077157 0 6.37703 3489.28 791.337 2091.72 9.15142 1377.04 963.882 7965.44 808.36 132.003 null null null null 0 0 808.3604 132.0029 -29.647300496738 -3.6816235847772 -.787021414 .2340360674 .759884 -3.11266207922506 0 183.329 82.7219 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
9 5546.412 5570 11184.84 11267 69.88278 69 80.45421 80 51 51 288.9575 450.6333 273 273 6.251544 8.784947 146 146 289 289 289.858 146.748 .019717 0 6.25154 3462.9 790.178 2083.51 8.78495 3241.81 1007.57 7943.04 802.25 310.127 null null null null 0 0 802.2499 310.1272 -29.2931252515637 -16.140193655561 -.4127698558 .1698107715 .619687 -1.82197214292891 0 183.06 86.4714 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
10 5717.309 5796 22563.71 22776 68.64158 68 81.78853 81 55 55 568.7625 1753.755 279 279 6.115836 9.460353 146 146 311 311 311.154 146.254 -.0935152 0 6.11584 3645.19 798.335 2072.12 9.46035 14642 1747.56 7921.74 844.482 1397.94 null null null null 0 0 844.4817 1397.938 -31.7569023950114 -124.28396158015 .2188977799 .09417814442 .814209 -1.69659455293052 0 184.95 149.979 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
11 5266.073 5278 8912.273 8893 68.74377 69 81.58007 81 55 55 311.499 447.486 281 281 6.311427 9.123449 146 146 332 332 332.626 146.595 -.119472 0 6.31143 3207.63 779.329 2058.45 9.12345 1017.29 959.403 7894.99 743.111 96.9399 null null null null 0 0 743.1108 96.93989 -25.9120234773577 -2.22951324371218 -.8845510472 .271640899 .712111 -2.94744269961114 0 180.547 82.3376 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
12 12078 12126 33236.49 33475 68.92361 69 81.42014 81 55 55 527.9247 1154.896 288 288 6.525832 9.509973 146 146 353 353 353.174 146.101 .00540346 0 6.52583 10033 1229.26 2045.02 9.50997 25368.3 2710.28 7868.23 2324.34 2412.79 null null null null 0 0 2324.341 2412.786 -114.959342288892 -191.324690105984 .01621910597 .06742855915 .732272 -.0915613656591818 0 284.782 232.6 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 1
13 5008.426 5074 10583.19 10683 69.20578 69 81.15523 81 54 54 405.8915 473.8916 277 277 6.103358 8.707469 147 147 374 374 374.008 147.549 -.0183971 0 6.10336 2972.93 769.966 2035.49 8.70747 2737.69 992.499 7845.49 688.739 259.921 null null null null 0 0 688.739 259.9211 -22.8911036318325 -12.0721509449009 -.4232132131 .1950877976 .862243 -1.52206431391117 0 178.378 85.178 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
14 5523.37 5533 28254.19 28180 68.28674 68 79.70251 80 54 54 358.5941 1927.132 279 279 6.414087 8.001418 146 146 395 395 395.549 146.835 .0846541 0 6.41409 3498.6 791.749 2024.77 8.00142 20433.8 2255.1 7820.43 810.52 1936.09 null null null null 0 0 810.5202 1936.085 -29.7726841637606 -164.057527624268 .3781606332 .08958668633 .692755 -4.61432663076403 0 183.424 193.537 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
15 4149.561 4201 17318.61 17321 68.34091 68 80.7197 80 57 57 381.2813 1024.79 264 264 6.748417 8.77502 147 147 416 416 416.954 147.338 .0840638 0 6.74842 2130.44 741.52 2019.12 8.77502 9519.31 1347.69 7799.31 493.559 900.204 null null null null 0 0 493.5589 900.2044 -13.0312453521641 -79.3596070210282 .2610021471 .1329227051 .699607 -1.30468691519866 0 171.788 115.661 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
16 5657.62 5742.5 23440.32 23530 68.44404 68 80.87004 80 50 50 388.7631 1238.308 277 277 6.59391 9.151962 146 146 438 438 438.092 146.5 .0604584 0 6.59391 3644.34 798.296 2013.28 9.15196 15661.2 1833.8 7779.13 844.285 1478.06 null null null null 0 0 844.2848 1478.063 -31.7453335170546 -132.036119658902 .2432040463 .0931869814 .405719 -2.04295850339379 0 184.941 157.38 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
17 4719.212 4755.5 23942.37 23839.5 68.30855 68 79.81784 79 52 52 312.1952 1424.567 269 269 5.753451 8.60451 147 147 459 459 459 147.598 .00852601 0 5.75345 2712 760.272 2007.21 8.60451 16184.3 1878.67 7758.1 628.289 1524.55 null null null null 0 0 628.2894 1524.548 -19.6536079016827 -135.877915249289 .3849812736 .1025680661 .496412 -3.75836246158081 0 176.132 161.231 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
18 6999.208 6949.5 13632.54 13676.5 68.26493 68 80.67164 80 48 48 529.5824 549.6624 268 268 6.597636 9.00543 147 147 480 480 480 147.256 -.0771376 0 6.59764 5000.21 868.611 1999 9.00543 5896.68 1121.52 7735.86 1158.4 554.368 null null null null 0 0 1158.399 554.368 -50.7129264353612 -42.1009333296448 -.3200599101 .1181965127 .737891 -2.16929550445017 0 201.231 96.251 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
19 5784.87 5888 21469.37 21356 67.67986 67 80.4964 80 54 54 672.9266 1346.369 278 278 5.990518 9.089903 147 147 501 501 501.254 147.323 -.0171591 0 5.99052 3799.78 805.511 1985.09 9.0899 13762.1 1674.53 7707.3 880.295 1291.24 null null null null 0 0 880.2948 1291.243 -33.8723186858201 -117.293870491935 .166379958 .09536093942 .590795 -1.09135264988149 0 186.613 143.711 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0
20 5829.094 5997 19942.83 20004 68.29553 68 80.60825 80 53 53 718.8304 997.7468 291 291 6.40382 9.281673 146 146 523 523 523.093 146.233 -.0185826 0 6.40382 3857.62 808.255 1971.48 9.28167 12263.9 1553.75 7678.91 893.694 1148.29 null null null null 0 0 893.6935 1148.287 -34.6690284962256 -104.718378119268 .1088618914 .09829289305 .677574 -.571757014330339 0 187.248 133.346 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 1 0 0

Total number of rows: 10807

Table truncated, full table size 4367 Kbytes.




Supplementary data files not provided
Processed data included within Sample table
| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap