stddata__2020_02_14 Samples Report
Overview
Introduction

This is a summary of data mirrored from the Genomic Data Commons (GDC) and processed by the GDCtools package. Note that some sample data will be filtered as unsuitable for downstream pipelines, through one of three mechanisms: redactions, replicate filtering, and blacklisting. The report lists the counts and types of the sample data, in both hyperlinked tables and heatmap images; describes the three filtering mechanisms; lists the samples removed by filtering, why they were removed; and (eventually will) catalog how the data have been annotated by the respective projects that submitted them to the GDC.

Summary

There were 0 redactions, 0 replicate aliquots, 0 blacklisted aliquots, and 0 FFPE aliquots. The table below represents the sample counts for those samples that were ingested into firehose after filtering out redactions, replicates, and blacklisted data, and segregating FFPEs.

Table 1.  Get Full Table Summary of TCGA Tumor Data. Click on a tumor type to display a tumor type specific Samples Report.

Cohort BCR Clinical CN mRNA miR MAF Methylation
TCGA-ACC 92 92 90 79 80 92 80
TCGA-BLCA 412 412 412 408 409 412 412
TCGA-BRCA 1098 1096 1093 1082 1075 1041 1091
TCGA-CESC 307 307 294 303 306 304 306
TCGA-CHOL 51 48 36 36 36 51 36
TCGA-COAD 461 458 452 456 444 432 458
TCGA-COADREAD 633 629 617 622 605 589 623
TCGA-DLBC 58 48 48 48 47 37 48
TCGA-ESCA 185 185 184 161 184 184 185
TCGA-GBM 617 598 596 154 0 396 422
TCGA-GBMLGG 1133 1112 1111 665 512 909 937
TCGA-HNSC 528 527 522 500 523 510 527
TCGA-KICH 113 113 66 65 66 66 66
TCGA-KIPAN 941 940 888 883 873 693 889
TCGA-KIRC 537 536 532 530 516 339 532
TCGA-KIRP 291 291 290 288 291 288 291
TCGA-LAML 200 200 200 151 188 149 140
TCGA-LGG 516 514 515 511 512 513 515
TCGA-LIHC 377 377 375 371 372 375 377
TCGA-LUAD 585 522 518 513 513 569 577
TCGA-LUSC 504 503 503 501 478 497 502
TCGA-MESO 87 87 87 86 87 83 87
TCGA-OV 608 586 587 374 489 441 591
TCGA-PAAD 185 185 184 177 178 183 184
TCGA-PANGI 1261 1257 1243 1158 1225 1214 1251
TCGA-PCPG 179 179 178 178 179 179 179
TCGA-PRAD 500 499 495 495 494 498 497
TCGA-READ 172 171 165 166 161 157 165
TCGA-SARC 261 261 260 259 259 255 261
TCGA-SKCM 470 470 368 367 352 368 368
TCGA-STAD 443 443 442 375 436 441 443
TCGA-STES 628 628 626 536 620 625 628
TCGA-TGCT 150 134 150 150 150 150 150
TCGA-THCA 507 506 505 502 506 496 506
TCGA-THYM 124 124 124 119 124 123 124
TCGA-UCEC 560 547 540 543 538 542 546
TCGA-UCS 57 57 56 56 57 57 57
TCGA-UVM 80 80 80 80 80 80 80
Totals 11315 11156 10947 10084 10130 10308 10803
Results
Sample Heatmaps
TCGA-ACC

Figure 1.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-BLCA

Figure 2.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-BRCA

Figure 3.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-CESC

Figure 4.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-CHOL

Figure 5.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-COAD

Figure 6.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-COADREAD

Figure 7.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-DLBC

Figure 8.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-ESCA

Figure 9.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-GBM

Figure 10.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-GBMLGG

Figure 11.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-HNSC

Figure 12.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-KICH

Figure 13.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-KIPAN

Figure 14.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-KIRC

Figure 15.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-KIRP

Figure 16.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-LAML

Figure 17.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-LGG

Figure 18.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-LIHC

Figure 19.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-LUAD

Figure 20.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-LUSC

Figure 21.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-MESO

Figure 22.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-OV

Figure 23.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-PAAD

Figure 24.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-PANGI

Figure 25.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-PCPG

Figure 26.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-PRAD

Figure 27.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-READ

Figure 28.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-SARC

Figure 29.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-SKCM

Figure 30.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-STAD

Figure 31.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-STES

Figure 32.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-TGCT

Figure 33.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-THCA

Figure 34.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-THYM

Figure 35.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-UCEC

Figure 36.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-UCS

Figure 37.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

TCGA-UVM

Figure 38.  Get High-res Image This figure depicts the distribution of available data on a per participant basis.

Filtered Samples

Redactions

Replicate Samples

Blacklisted Samples

Methods & Data
Redactions and Other Annotations

NOT IMPLEMENTED YET: redactions are not yet exposed at the GDC. For examples of the annotation-based filtering performed in the past by the Broad GDAC Firehose pipeline, explore this legacy GDAC Firehose sample report

Preprocessors
mRNA Preprocessor

The mRNA preprocess median module chooses the matrix for the platform(Affymetrix HG U133, Affymetrix Exon Array and Agilent Gene Expression) with the largest number of samples.

mRNAseq Preprocessor

The mRNAseq preprocessor picks the "scaled_estimate" (RSEM) value from Illumina HiSeq/GA2 mRNAseq level_3 (v2) data set and makes the mRNAseq matrix with log2 transformed for the downstream analysis. If there are overlap samples between two different platforms, samples from illumina hiseq will be selected. The pipeline also creates the matrix with RPKM and log2 transform from HiSeq/GA2 mRNAseq level 3 (v1) data set.

miRseq Preprocessor

The miRseq preprocessor picks the "RPM" (reads per million miRNA precursor reads) from the Illumina HiSeq/GA miRseq Level_3 data set and makes the matrix with log2 transformed values.

Methylation Preprocessor

The methylation preprocessor filters methylation data for use in downstream pipelines. To learn more about this preprocessor, please visit the documentation.

Made with Nozzle