Note: input data format must match the example on the right, tab-seperated
1, data from excel, copy and paste data into the input frame
2, data from txt, must tab-seperated, copy and paste data into the input frame
3, use point as decimal separator, not comma. e.g. 3.14, not 3,14 as pi

TCGA cancer type
ACC (Adrenocortical carcinoma)
BLCA (Bladder Urothelial Carcinoma)
BRCA (Breast invasive carcinoma)
CESC (Cervical squamous cell carcinoma and endocervical adenocarcinoma)
CHOL (Cholangiocarcinoma)
COAD (Colon adenocarcinoma)
DLBC (Lymphoid Neoplasm Diffuse Large B-cell Lymphoma)
ESCA (Esophageal carcinoma)
GBM (Glioblastoma multiforme)
HNSC (Head and Neck squamous cell carcinoma)
KICH (Kidney Chromophobe)
KIRC (Kidney renal clear cell carcinoma)
KIRP (Kidney renal papillary cell carcinoma)
LAML (Acute Myeloid Leukemia)
LGG (Brain Lower Grade Glioma)
LIHC (Liver hepatocellular carcinoma)
LUAD (Lung adenocarcinoma)
LUSC (Lung squamous cell carcinoma)
MESO (Mesothelioma)
OV (Ovarian serous cystadenocarcinoma)
PAAD (Pancreatic adenocarcinoma)
PCPG (Pheochromocytoma and Paraganglioma)
PRAD (Prostate adenocarcinoma)
READ (Rectum adenocarcinoma)
SARC (Sarcoma)
SKCM (Skin Cutaneous Melanoma)
STAD (Stomach adenocarcinoma)
TGCT (Testicular Germ Cell Tumors)
THCA (Thyroid carcinoma)
THYM (Thymoma)
UCEC (Uterine Corpus Endometrial Carcinoma)
UCS (Uterine Carcinosarcoma)
UVM (Uveal Melanoma)

Specific genes (one gene symbol per line)


Figure Size
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Mutation MAF summary plot

Introduction
Mutation Annotation Format (MAF) is a TCGA defined file format, used to store mutation annotation informations.
MAF is a specific file format for human species, it contains SNV and annotation informations for all samples, easily for downstream analysis. You can change VCF file into MAF file with vcf2maf. Here we used Masked Somatic Mutation, open access mutation annotation files. ref: maftool R package.
Input data
build-in TCGA 33 types of cancers (TCGA.*.mutect*somatic.maf.gz)
Examples from paper
M 5 C regulator-mediated methylation modification patterns and tumor microenvironment infiltration characterization in lung adenocarcinoma. Fig2A
Input select cancer types and input genes
Output

1) How to plot?
1, Prepare data
2, Open with excel, and change into the same format as the example
3, Copy and paste data into the input frame
4, Select parameters
5, Submit and download figure files

2) Why NO figure generated?
Script need strigent input format, please read the instructions and examples carefully.

3) How to cite?
2000+ papers in (Google Scholar)
Tang D, Chen M, Huang X, Zhang G, Zeng L, Zhang G, Wu S, Wang Y. SRplot: A free online platform for data visualization and graphing. PLoS One. 2023 Nov 9;18(11):e0294236. doi: 10.1371/journal.pone.0294236. PMID: 37943830.

4) FAQs