Mutation Analysis (MutSig v2.0 and MutSigCV v0.9 merged result)
Uterine Carcinosarcoma (Primary solid tumor)
16 April 2014  |  analyses__2014_04_16
Maintainer Information
Citation Information
doi:10.7908/C1FX785M
Maintained by Dan DiCara (Broad Institute)
Cite as Broad Institute TCGA Genome Data Analysis Center (2014): Mutation Analysis (MutSig v2.0 and MutSigCV v0.9 merged result). Broad Institute of MIT and Harvard. doi:10.7908/C1FX785M
Overview
Introduction

This report serves to describe the mutational landscape and properties of a given individual set, as well as rank genes and genesets according to mutational significance. MutSig v2.0 and MutSigCV v0.9 merged result was used to generate the results found in this report.

  • Working with individual set: UCS-TP

  • Number of patients in set: 57

Input

The input for this pipeline is a set of individuals with the following files associated for each:

  1. An annotated .maf file describing the mutations called for the respective individual, and their properties.

  2. A .wig file that contains information about the coverage of the sample.

Summary

  • MAF used for this analysis:UCS-TP.final_analysis_set.maf

  • Blacklist used for this analysis: pancan_mutation_blacklist.v14.hg19.txt

  • Significantly mutated genes (q ≤ 0.1): 8

  • Mutations seen in COSMIC: 139

  • Significantly mutated genes in COSMIC territory: 13

  • Significantly mutated genesets: 104

Mutation Preprocessing

  • Read 57 MAFs of type "Broad"

  • Total number of mutations in input MAFs: 11339

  • After removing 78 mutations outside chr1-24: 11261

  • After removing 432 blacklisted mutations: 10829

  • After removing 889 noncoding mutations: 9940

Mutation Filtering

  • Number of mutations before filtering: 9940

  • After removing 511 mutations outside gene set: 9429

  • After removing 38 mutations outside category set: 9391

Results
Breakdown of Mutations by Type

Table 1.  Get Full Table Table representing breakdown of mutations by type.

type count
Frame_Shift_Del 241
Frame_Shift_Ins 81
In_Frame_Del 66
In_Frame_Ins 10
Missense_Mutation 6146
Nonsense_Mutation 592
Nonstop_Mutation 13
Silent 1922
Splice_Site 284
Translation_Start_Site 36
Total 9391
Breakdown of Mutation Rates by Category Type

Table 2.  Get Full Table A breakdown of mutation rates per category discovered for this individual set.

category n N rate rate_per_mb relative_rate exp_ns_s_ratio
*CpG->T 1706 95243737 0.000018 18 4 2.1
*Cp(A/C/T)->T 829 765648006 1.1e-06 1.1 0.24 1.7
C->(G/A) 1893 860891743 2.2e-06 2.2 0.49 4.7
A->mut 1752 819427697 2.1e-06 2.1 0.48 3.9
indel+null 1257 1680319440 7.5e-07 0.75 0.17 NaN
double_null 32 1680319440 1.9e-08 0.019 0.0043 NaN
Total 7469 1680319440 4.4e-06 4.4 1 3.5
Target Coverage for Each Individual

The x axis represents the samples. The y axis represents the exons, one row per exon, and they are sorted by average coverage across samples. For exons with exactly the same average coverage, they are sorted next by the %GC of the exon. (The secondary sort is especially useful for the zero-coverage exons at the bottom). If the figure is unpopulated, then full coverage is assumed (e.g. MutSig CV doesn't use WIGs and assumes full coverage).

Figure 1. 

Distribution of Mutation Counts, Coverage, and Mutation Rates Across Samples

Figure 2.  Patients counts and rates file used to generate this plot: UCS-TP.patients.counts_and_rates.txt

Lego Plots

The mutation spectrum is depicted in the lego plots below in which the 96 possible mutation types are subdivided into six large blocks, color-coded to reflect the base substitution type. Each large block is further subdivided into the 16 possible pairs of 5' and 3' neighbors, as listed in the 4x4 trinucleotide context legend. The height of each block corresponds to the mutation frequency for that kind of mutation (counts of mutations normalized by the base coverage in a given bin). The shape of the spectrum is a signature for dominant mutational mechanisms in different tumor types.

Figure 3.  Get High-res Image SNV Mutation rate lego plot for entire set. Each bin is normalized by base coverage for that bin. Colors represent the six SNV types on the upper right. The three-base context for each mutation is labeled in the 4x4 legend on the lower right. The fractional breakdown of SNV counts is shown in the pie chart on the upper left. If this figure is blank, not enough information was provided in the MAF to generate it.

Figure 4.  Get High-res Image SNV Mutation rate lego plots for 4 slices of mutation allele fraction (0<=AF<0.1, 0.1<=AF<0.25, 0.25<=AF<0.5, & 0.5<=AF) . The color code and three-base context legends are the same as the previous figure. If this figure is blank, not enough information was provided in the MAF to generate it.

CoMut Plot

Figure 5.  Get High-res Image The matrix in the center of the figure represents individual mutations in patient samples, color-coded by type of mutation, for the significantly mutated genes. The rate of synonymous and non-synonymous mutations is displayed at the top of the matrix. The barplot on the left of the matrix shows the number of mutations in each gene. The percentages represent the fraction of tumors with at least one mutation in the specified gene. The barplot to the right of the matrix displays the q-values for the most significantly mutated genes. The purple boxplots below the matrix (only displayed if required columns are present in the provided MAF) represent the distributions of allelic fractions observed in each sample. The plot at the bottom represents the base substitution distribution of individual samples, using the same categories that were used to calculate significance.

Significantly Mutated Genes

Column Descriptions:

  • N = number of sequenced bases in this gene across the individual set

  • n = number of (nonsilent) mutations in this gene across the individual set

  • npat = number of patients (individuals) with at least one nonsilent mutation

  • nsite = number of unique sites having a non-silent mutation

  • nsil = number of silent mutations in this gene across the individual set

  • n1 = number of nonsilent mutations of type: *CpG->T

  • n2 = number of nonsilent mutations of type: *Cp(A/C/T)->T

  • n3 = number of nonsilent mutations of type: C->(G/A)

  • n4 = number of nonsilent mutations of type: A->mut

  • n5 = number of nonsilent mutations of type: indel+null

  • n6 = number of nonsilent mutations of type: double_null

  • p_cons = p-value for enrichment of mutations at evolutionarily most-conserved sites in gene

  • p_joint = p-value for clustering + conservation

  • p = p-value (overall)

  • q = q-value, False Discovery Rate (Benjamini-Hochberg procedure)

Table 3.  Get Full Table A Ranked List of Significantly Mutated Genes. Number of significant genes found: 8. Number of genes displayed: 35. Click on a gene name to display its stick figure depicting the distribution of mutations and mutation types across the chosen gene (this feature may not be available for all significant genes).

rank gene description N n npat nsite nsil n1 n2 n3 n4 n5 n6 p_clust p_cons p_joint p_cv p q
1 FBXW7 F-box and WD repeat domain containing 7 139842 24 22 15 0 12 4 5 1 2 0 2e-07 0.001 0 4.3e-15 0 0
2 KRAS v-Ki-ras2 Kirsten rat sarcoma viral oncogene homolog 36696 7 7 2 0 0 2 5 0 0 0 0 0.047 0 0.52 0 0
3 TP53 tumor protein p53 68846 55 51 43 0 14 5 11 12 12 1 0 0 0 7.8e-16 0 0
4 PIK3CA phosphoinositide-3-kinase, catalytic, alpha polypeptide 186411 22 20 13 0 3 5 4 10 0 0 0.012 0.0027 0.00074 4.4e-11 1e-12 4.7e-09
5 PPP2R1A protein phosphatase 2 (formerly 2A), regulatory subunit A , alpha isoform 99487 17 16 10 0 7 3 7 0 0 0 0.000055 0.018 0.000029 2.4e-08 2e-11 7.2e-08
6 PTEN phosphatase and tensin homolog (mutated in multiple advanced cancers 1) 64171 15 11 14 0 1 2 4 2 5 1 0.15 0.73 0.28 1.3e-10 9.3e-10 2.8e-06
7 PIK3R1 phosphoinositide-3-kinase, regulatory subunit 1 (alpha) 134194 8 6 8 0 0 1 0 0 7 0 0.02 0.56 0.042 7.9e-06 5.2e-06 0.013
8 ZBTB7B zinc finger and BTB domain containing 7B 92321 7 6 7 0 1 0 2 1 3 0 0.38 0.022 0.077 7.8e-06 9.2e-06 0.021
9 RB1 retinoblastoma 1 (including osteosarcoma) 133287 6 6 6 0 0 0 0 1 4 1 0.78 0.7 1 7.2e-06 0.000092 0.18
10 BCL2L11 BCL2-like 11 (apoptosis facilitator) 34712 2 2 1 0 0 0 0 0 2 0 0.012 0.096 0.062 0.0011 0.00073 1
11 CHD4 chromodomain helicase DNA binding protein 4 336006 12 10 12 0 2 1 0 6 3 0 0.089 0.037 0.053 0.002 0.0011 1
12 SPOP speckle-type POZ protein 66102 5 4 5 0 1 0 2 2 0 0 0.018 0.12 0.022 0.0088 0.0018 1
13 HCFC1R1 host cell factor C1 regulator 1 (XPO1 dependent) 18746 2 2 2 0 0 0 0 0 2 0 0.21 0.61 0.35 0.0009 0.0029 1
14 FAM92B family with sequence similarity 92, member B 52370 3 3 3 0 0 1 1 0 1 0 0.35 0.015 0.044 0.0079 0.0031 1
15 NDUFAF2 NADH dehydrogenase (ubiquinone) 1 alpha subcomplex, assembly factor 2 23615 3 3 1 0 3 0 0 0 0 0 NaN NaN NaN 0.0042 0.0042 1
16 CDK11A cyclin-dependent kinase 11A 72275 3 2 3 0 1 0 1 1 0 0 0.0036 0.022 0.00062 0.93 0.0049 1
17 YARS tyrosyl-tRNA synthetase 92520 3 3 3 0 1 0 2 0 0 0 0.0018 0.3 0.0022 0.32 0.0059 1
18 TBXAS1 thromboxane A synthase 1 (platelet, cytochrome P450, family 5, subfamily A) 94215 2 2 2 0 0 0 0 0 2 0 0.13 0.088 0.075 0.011 0.0066 1
19 LYPLA2 lysophospholipase II 41440 3 3 3 0 0 0 1 0 2 0 1 0.8 1 0.001 0.0081 1
20 GPRASP1 G protein-coupled receptor associated sorting protein 1 238270 4 4 4 1 1 1 1 0 1 0 0.0015 0.31 0.004 0.26 0.0082 1
21 MYOZ1 myozenin 1 52440 2 2 2 0 0 0 0 0 2 0 0.012 0.89 0.28 0.004 0.0087 1
22 UBE2G1 ubiquitin-conjugating enzyme E2G 1 (UBC7 homolog, yeast) 28206 2 2 2 0 0 1 0 0 1 0 0.4 0.89 0.43 0.0031 0.01 1
23 NUDT14 nudix (nucleoside diphosphate linked moiety X)-type motif 14 34351 2 2 2 0 1 0 0 0 1 0 NaN NaN NaN 0.01 0.01 1
24 U2AF1 U2 small nuclear RNA auxiliary factor 1 46802 2 2 1 0 0 2 0 0 0 0 0.016 0.0084 0.031 0.059 0.013 1
25 TEX15 testis expressed 15 468146 3 1 3 0 0 0 0 3 0 0 0.25 0.0015 0.0022 1 0.016 1
26 HMGN2 high-mobility group nucleosomal binding domain 2 15466 1 1 1 0 0 0 0 0 1 0 NaN NaN NaN 0.017 0.017 1
27 LYRM2 LYR motif containing 2 14424 1 1 1 0 0 0 0 0 1 0 NaN NaN NaN 0.017 0.017 1
28 C22orf24 chromosome 22 open reading frame 24 13532 1 1 1 0 0 0 0 0 1 0 NaN NaN NaN 0.017 0.017 1
29 HBA1 hemoglobin, alpha 1 13301 1 1 1 0 0 0 0 0 1 0 NaN NaN NaN 0.018 0.018 1
30 ZFP36L1 zinc finger protein 36, C3H type-like 1 58312 2 2 2 0 0 0 0 0 2 0 0.92 0.24 0.71 0.004 0.019 1
31 CTCFL CCCTC-binding factor (zinc finger protein)-like 115824 2 2 2 0 0 0 0 1 1 0 0.025 0.029 0.019 0.15 0.02 1
32 OSTN osteocrin 23471 2 2 2 0 0 1 0 0 1 0 0.78 0.35 0.55 0.0052 0.02 1
33 LYL1 lymphoblastic leukemia derived sequence 1 11886 1 1 1 0 0 0 0 0 1 0 NaN NaN NaN 0.021 0.021 1
34 IER3 immediate early response 3 22580 1 1 1 0 0 0 0 0 1 0 NaN NaN NaN 0.022 0.022 1
35 SPANXN1 SPANX family, member N1 12939 1 1 1 1 0 0 0 0 1 0 NaN NaN NaN 0.022 0.022 1
FBXW7

Figure S1.  This figure depicts the distribution of mutations and mutation types across the FBXW7 significant gene.

KRAS

Figure S2.  This figure depicts the distribution of mutations and mutation types across the KRAS significant gene.

TP53

Figure S3.  This figure depicts the distribution of mutations and mutation types across the TP53 significant gene.

PIK3CA

Figure S4.  This figure depicts the distribution of mutations and mutation types across the PIK3CA significant gene.

PPP2R1A

Figure S5.  This figure depicts the distribution of mutations and mutation types across the PPP2R1A significant gene.

PTEN

Figure S6.  This figure depicts the distribution of mutations and mutation types across the PTEN significant gene.

PIK3R1

Figure S7.  This figure depicts the distribution of mutations and mutation types across the PIK3R1 significant gene.

ZBTB7B

Figure S8.  This figure depicts the distribution of mutations and mutation types across the ZBTB7B significant gene.

COSMIC analyses

In this analysis, COSMIC is used as a filter to increase power by restricting the territory of each gene. Cosmic version: v48.

Table 4.  Get Full Table Significantly mutated genes (COSMIC territory only). To access the database please go to: COSMIC. Number of significant genes found: 13. Number of genes displayed: 10

rank gene description n cos n_cos N_cos cos_ev p q
1 FBXW7 F-box and WD repeat domain containing 7 24 91 19 5187 788 0 0
2 TP53 tumor protein p53 55 356 52 20292 16225 0 0
3 KRAS v-Ki-ras2 Kirsten rat sarcoma viral oncogene homolog 7 52 7 2964 101988 0 0
4 PIK3CA phosphoinositide-3-kinase, catalytic, alpha polypeptide 22 220 20 12540 8438 0 0
5 PTEN phosphatase and tensin homolog (mutated in multiple advanced cancers 1) 15 767 15 43719 769 0 0
6 PIK3R1 phosphoinositide-3-kinase, regulatory subunit 1 (alpha) 8 33 4 1881 9 2e-10 1.5e-07
7 ERBB3 v-erb-b2 erythroblastic leukemia viral oncogene homolog 3 (avian) 5 6 2 342 2 1.2e-06 0.00074
8 RB1 retinoblastoma 1 (including osteosarcoma) 6 267 3 15219 10 0.000049 0.028
9 F13A1 coagulation factor XIII, A1 polypeptide 1 1 1 57 1 0.00025 0.088
10 FERD3L Fer3-like (Drosophila) 2 1 1 57 1 0.00025 0.088

Note:

n - number of (nonsilent) mutations in this gene across the individual set.

cos = number of unique mutated sites in this gene in COSMIC

n_cos = overlap between n and cos.

N_cos = number of individuals times cos.

cos_ev = total evidence: number of reports in COSMIC for mutations seen in this gene.

p = p-value for seeing the observed amount of overlap in this gene)

q = q-value, False Discovery Rate (Benjamini-Hochberg procedure)

Geneset Analyses

Table 5.  Get Full Table A Ranked List of Significantly Mutated Genesets. (Source: MSigDB GSEA Cannonical Pathway Set).Number of significant genesets found: 104. Number of genesets displayed: 10

rank geneset description genes N_genes mut_tally N n npat nsite nsil n1 n2 n3 n4 n5 n6 p_ns_s p q
1 CHEMICALPATHWAY DNA damage promotes Bid cleavage, which stimulates mitochondrial cytochrome c release and consequent caspase activation, resulting in apoptosis. ADPRT, AKT1, APAF1, ATM, BAD, BAX, BCL2, BCL2L1, BID, CASP3, CASP6, CASP7, CASP9, CYCS, EIF2S1, PRKCA, PRKCB1, PTK2, PXN, STAT1, TLN1, TP53 20 APAF1(2), ATM(3), BCL2L1(1), CASP7(1), EIF2S1(1), PXN(1), STAT1(1), TP53(55) 2302234 65 53 53 2 16 6 14 13 15 1 4.3e-06 <1.00e-15 <8.63e-14
2 PMLPATHWAY Ring-shaped PML nuclear bodies regulate transcription and are required co-activators in p53- and DAXX-mediated apoptosis. CREBBP, DAXX, HRAS, PAX3, PML, PRAM-1, RARA, RB1, SIRT1, SP100, TNF, TNFRSF1A, TNFRSF1B, TNFRSF6, TNFSF6, TP53, UBL1 13 CREBBP(6), PML(1), RB1(6), SIRT1(1), TP53(55) 1613841 69 52 57 0 18 6 12 14 17 2 5.6e-09 <1.00e-15 <8.63e-14
3 NKCELLSPATHWAY Natural killer (NK) lymphocytes are inhibited by MHC and activated by surface glycoproteins on tumor or virus-infected cells, which undergo perforin-mediated lysis. B2M, HLA-A, IL18, ITGB1, KLRC1, KLRC2, KLRC3, KLRC4, KLRD1, LAT, MAP2K1, MAPK3, PAK1, PIK3CA, PIK3R1, PTK2B, PTPN6, RAC1, SYK, VAV1 20 ITGB1(1), KLRC3(1), PIK3CA(22), PIK3R1(8), PTPN6(1), RAC1(1) 1567278 34 28 25 1 3 6 5 12 8 0 0.004 1.22e-15 8.63e-14
4 G1_TO_S_CELL_CYCLE_REACTOME ATM, CCNA1, CCNB1, CCND1, CCND2, CCND3, CCNE1, CCNE2, CCNG2, CCNH, CDC25A, CDC45L, CDK2, CDK4, CDK7, CDKN1A, CDKN1B, CDKN1C, CDKN2A, CDKN2B, CDKN2C, CDKN2D, CREB3, CREB3L1, CREB3L3, CREB3L4, CREBL1, CREBL1, TNXB, E2F1, E2F2, E2F3, E2F4, E2F5, E2F6, FLJ14001, GADD45A, GBA2, MCM2, MCM3, MCM4, MCM5, MCM6, MCM7, MDM2, MNAT1, MYC, MYT1, NACA, NACA, FKSG17, ORC1L, ORC2L, ORC3L, ORC4L, ORC5L, ORC6L, PCNA, POLA2, POLE, POLE2, PRIM1, PRIM2A, RB1, RBL1, RPA1, RPA2, RPA3, TFDP1, TFDP2, TP53, WEE1 64 ATM(3), CCNA1(1), CCND1(1), CCND2(1), CCNE2(1), CDKN2A(1), CDKN2B(1), E2F1(1), MCM2(1), MCM3(1), MCM5(1), MCM6(1), MCM7(1), MNAT1(1), MYC(2), NACA(2), POLE(1), POLE2(1), RB1(6), RPA1(1), TNXB(3), TP53(55), WEE1(1) 6583713 88 54 76 6 20 6 21 21 17 3 5.8e-06 1.33e-15 8.63e-14
5 TPOPATHWAY Thrombopoietin binds to its receptor and activates cell growth through the Erk and JNK MAP kinase pathways, protein kinase C, and JAK/STAT activation. CSNK2A1, FOS, GRB2, HRAS, JAK2, JUN, MAP2K1, MAPK3, MPL, PIK3CA, PIK3R1, PLCG1, PRKCA, PRKCB1, RAF1, RASA1, SHC1, SOS1, STAT1, STAT3, STAT5A, STAT5B, THPO 22 JAK2(2), PIK3CA(22), PIK3R1(8), RASA1(1), STAT1(1), STAT3(2) 2536692 36 27 27 2 3 7 5 12 9 0 0.011 1.44e-15 8.63e-14
6 APOPTOSIS APAF1, BAD, BAK1, BCL2L7P1, BAX, BCL2, BCL2L1, BCL2L11, BID, BIRC2, BIRC3, BIRC4, BIRC5, BNIP3L, CASP1, CASP10, CASP1, COPl, CASP2, CASP3, CASP4, CASP6, CASP7, CASP8, CASP9, CHUK, CYCS, DFFA, DFFB, FADD, FAS, FASLG, GZMB, HELLS, HRK, IKBKB, IKBKG, IRF1, IRF2, IRF3, IRF4, IRF5, IRF6, IRF7, JUN, LTA, MAP2K4, MAP3K1, MAPK10, MDM2, MYC, NFKB1, NFKBIA, NFKBIB, NFKBIE, PRF1, RELA, RIPK1, TNF, TNFRSF10B, TNFRSF1A, TNFRSF1B, TNFRSF21, TNFRSF25, TNFRSF25, PLEKHG5, TNFSF10, TP53, TP73, TRADD, TRAF1, TRAF2, TRAF3 66 APAF1(2), BCL2L1(1), BCL2L11(2), CASP4(1), CASP7(1), CASP8(2), GZMB(1), HELLS(1), IKBKB(1), IRF2(1), IRF6(1), LTA(1), MAP2K4(1), MAP3K1(1), MAPK10(1), MYC(2), TNFRSF21(1), TP53(55), TP73(1) 4903224 77 52 64 5 20 7 12 17 20 1 0.000015 1.55e-15 8.63e-14
7 ATRBRCAPATHWAY BRCA1 and 2 block cell cycle progression in response to DNA damage and promote double-stranded break repair; mutations induce breast cancer susceptibility. ATM, ATR, BRCA1, BRCA2, CHEK1, CHEK2, FANCA, FANCC, FANCD2, FANCE, FANCF, FANCG, HUS1, MRE11A, NBS1, RAD1, RAD17, RAD50, RAD51, RAD9A, TP53, TREX1 21 ATM(3), ATR(3), BRCA2(5), CHEK2(2), FANCC(1), FANCD2(1), FANCE(1), FANCF(1), FANCG(1), HUS1(1), MRE11A(1), RAD9A(1), TP53(55) 3685680 76 52 64 4 16 7 18 19 15 1 6e-05 1.55e-15 8.63e-14
8 TELPATHWAY Telomerase is a ribonucleotide protein that adds telomeric repeats to the 3' ends of chromosomes. AKT1, BCL2, EGFR, G22P1, HSPCA, IGF1R, KRAS2, MYC, POLR2A, PPP2CA, PRKCA, RB1, TEP1, TERF1, TERT, TNKS, TP53, XRCC5 15 MYC(2), POLR2A(2), RB1(6), TEP1(1), TNKS(1), TP53(55) 2390234 67 53 55 2 15 6 11 17 16 2 1e-06 1.89e-15 8.63e-14
9 RASPATHWAY Ras activation stimulates many signaling cascades, including PI3K/AKT activation to inhibit apoptosis. AKT1, ARHA, BAD, BCL2L1, CASP9, CDC42, CHUK, ELK1, H2AFX, HRAS, MAP2K1, MAPK3, MLLT7, NFKB1, PIK3CA, PIK3R1, RAC1, RAF1, RALA, RALBP1, RALGDS, RELA, RHOA 21 BCL2L1(1), PIK3CA(22), PIK3R1(8), RAC1(1), RALGDS(2) 1634536 34 28 25 1 5 7 5 10 7 0 0.0017 1.89e-15 8.63e-14
10 CDC42RACPATHWAY PI3 kinase stimulates cell migration by activating cdc42, which activates ARP2/3, which in turn promotes formation of new actin fibers. ACTR2, ACTR3, ARHA, ARPC1A, ARPC1B, ARPC2, ARPC3, ARPC4, CDC42, PAK1, PDGFRA, PIK3CA, PIK3R1, RAC1, WASL 14 ACTR3(1), PIK3CA(22), PIK3R1(8), RAC1(1), WASL(1) 1132069 33 27 24 1 4 6 5 11 7 0 0.0047 1.89e-15 8.63e-14
Methods & Data
Methods

In brief, we tabulate the number of mutations and the number of covered bases for each gene. The counts are broken down by mutation context category: four context categories that are discovered by MutSig, and one for indel and 'null' mutations, which include indels, nonsense mutations, splice-site mutations, and non-stop (read-through) mutations. For each gene, we calculate the probability of seeing the observed constellation of mutations, i.e. the product P1 x P2 x ... x Pm, or a more extreme one, given the background mutation rates calculated across the dataset. [1]

Download Results

In addition to the links below, the full results of the analysis summarized in this report can also be downloaded programmatically using firehose_get, or interactively from either the Broad GDAC website or TCGA Data Coordination Center Portal.

References
[1] TCGA, Integrated genomic analyses of ovarian carcinoma, Nature 474:609 - 615 (2011)
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