TCGA / GDC
Cancer genomics, transcriptomics, biospecimen, and clinical data.
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Research focuses on bioinformatics and cancer genomics, spanning pan-cancer transcriptomic analysis, RNA alterations, single-cell variant detection, and accessible biomedical data resources.
Research Area
This work integrates genomic, transcriptomic, clinical, and other molecular data to study RNA alterations, tumor microenvironment composition, regulatory networks, and treatment response across cancer types.
Cancer genomics, transcriptomics, biospecimen, and clinical data.
Visit ResourceGene expression and genetic regulation across normal human tissues.
Visit ResourceGuidance for accessing legacy ICGC/PCAWG data after retirement of the former portal.
Visit ResourceInteractive exploration and visualization of PCAWG datasets.
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This work benchmarks computational methods for detecting single-nucleotide variants in single-cell RNA-sequencing data and evaluates how sequencing depth, gene expression, allele frequency, and genomic context influence performance.
Representative Publication
Research Area
Selected web tools and data resources associated with published work in cancer transcriptomics, cell-type analysis, and lncRNA annotation.
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An advanced pan-cancer analysis platform integrating gene expression, drug sensitivity, gene/protein interaction networks, regulatory relationships, and RNA alterations.
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A web resource for cell type-level analysis of TCGA and GTEx bulk transcriptomic data using multiple deconvolution methods.
The GEPIA2021 server has shown intermittent availability; the publication link remains accessible.
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The current successor to AnnoLnc, providing systematic annotation of novel human and mouse lncRNAs.
Fenglin Liu contributed to the original AnnoLnc pilot build and is listed in the previous AnnoLnc development team, not the AnnoLnc2 development team.