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. 2023 Apr 26;42(23):1913–1925. doi: 10.1038/s41388-023-02670-1
Data resource Source Identifier
Deposited data
TCGA level 4 RNA-seq, clinical and survival information (LUAD, LUSC and SKCM samples) UCSC Xena database https://gdc.xenahubs.net
TCGA level 3 somatic mutation data (LUAD, LUSC and SKCM samples) Genomic Data Commons https://portal.gdc.cancer.gov/
TCGA RPPA data (LUAD, LUSC and SKCM samples) RPPA Core Facility, MD Anderson Cancer Center http://app1.bioinformatics.mdanderson.org/tcpa/_design/basic/index.html
TCGA HLA allele information (LUAD, LUSC and SKCM samples) The Cancer Immunome Atlas https://tcia.at/home
TCGA fusion genes (LUAD, LUSC and SKCM samples) ChimerDB 4.0 database https://www.kobic.re.kr/chimerdb/
Raw WES data (Rizvi LUAD and Synder melanoma samples) Database of Genotypes and Phenotypes https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000980.v1.p1
https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001041.v1.p1
Raw RNA-seq and WES data (Amato melanoma samples) NCBI Sequence Read Archive database https://trace.ncbi.nlm.nih.gov/Traces/study/?acc=SRP267584
https://trace.ncbi.nlm.nih.gov/Traces/study/?acc=SRP217040
Raw and processed RNA-seq and WES data (Abbott melanoma samples) Database of Genotypes and Phenotypes https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002388.v1.p1
NCBI Gene Expression Omnibus https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE15996
Raw and processed RNA-seq and WES data (SMC NSCLC samples) NCBI Sequence Read Archive database https://trace.ncbi.nlm.nih.gov/Traces/study/?acc=SRP217040
NCBI Gene Expression Omnibus https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE203360
European Genome-phenome Archive https://ega-archive.org/datasets/EGAD00001005211
Processed single-cell RNA-seq data (NSCLC and melanoma samples) NCBI Gene Expression Omnibus https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE17794
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE120575
Software and algorithms
R v4.1.0 The Comprehensive R Archive Network https://www.r-project.org/
BWA v0.7.15 http://bio-bwa.sourceforge.net/
MuTect2 v4.1.0 https://github.com/broadinstitute/mutect
GATK v4.1.7.0 Van et al. [9] https://github.com/gatk-workflows/gatk4-somatic-snvs-indels/
Polysolver Shukla et al. [44] https://github.com/jason-weirather/hla-polysolver
NetMHCpan v4.1 Reynisson et al. [46] https://services.healthtech.dtu.dk/service.php?NetMHCpan-4.1
deepHLApan v1.1 Wu et al. [47] https://github.com/jiujiezz/deephlapan
STAR v2.7.9a https://github.com/alexdobin/STAR
STAR-Fusion v1.10.1 Haas et al. [62] https://github.com/STAR-Fusion/STAR-Fusion
Arriba v2.2.1 https://github.com/suhrig/arriba
GeneFuse v0.6.1 https://github.com/OpenGene/genefuse
CNVkit v0.9.7 https://github.com/etal/cnvkit
TRUST4 v1.0.6 Song et al. [51] https://github.com/liulab-dfci/TRUST4
Seurat v4.2.0 Hao et al. [63] https://satijalab.org/seurat/
CIBERSORTx Newman et al. [53] https://cibersortx.stanford.edu/runcibersortx.php
ABSOLUTE v1.0.6 https://software.broadinstitute.org/cancer/cga/absolute
xCell v1.1.0 Aran et al. [52] https://github.com/dviraran/xCell/
LOHHLA McGranahan et al. [12] https://bitbucket.org/mcgranahanlab/lohhla/src/master/
survminer v0.4.9 The CRAN package repository https://cran.r-project.org/package=survminer
survival v3.2.11 The CRAN package repository https://cran.r-project.org/package=survival
factoextra v1.0.7 The CRAN package repository https://cran.r-project.org/package=factoextra
clusterProfiler v4.1.4 Yu et al. [56] http://bioconductor.org/packages/release/bioc/html/clusterProfiler.html
fgsea v1.20.0 Sergushichev et al. [48] http://bioconductor.org/packages/release/bioc/html/fgsea.html
GSVA v1.40.0 Hänzelmann et al. [61] https://bioconductor.org/packages/release/bioc/html/GSVA.html