ArticleDatabase : the journal of biological databases and curation2015
BioXpress: an integrated RNA-seq-derived gene expression database for pan-cancer analysis.
Article in Database : the journal of biological databases and curation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
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Who cites it
54 citing papers in PubMed.
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- Deep profiling of gene expression across 18 human cancers.Nature biomedical engineering · 2025Article
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- A deep profile of gene expression across 18 human cancers.bioRxiv : the preprint server for biology · 2024Article
- Decoding the Non-coding: Tools and Databases Unveiling the Hidden World of "Junk" RNAs for Innovative Therapeutic Exploration.ACS pharmacology & translational science · 2024Review
- Unearthing FLVCR1a: tracing the path to a vital cellular transporter.Cellular and molecular life sciences : CMLS · 2024Review
- Classification of Long Non-Coding RNAs s Between Early and Late Stage of Liver Cancers From Non-coding RNA Profiles Using Machine-Learning Approach.Bioinformatics and biology insights · 2024Article
- The RNA world: from experimental laboratory to "in silico" approach. Part 1: User friendly RNA expression databases portals.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2024Review
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- The Cancer Research Database (CRDB): Integrated Platform to Gain Statistical Insight Into the Correlation Between Cancer and COVID-19.JMIR cancer · 2022Article
- Network-based cancer genomic data integration for pattern discovery.BMC genomic data · 2021Article
- Non-Coding RNA-Based Biosensors for Early Detection of Liver Cancer.Biomedicines · 2021Review
- Processing and Analysis of RNA-seq Data from Public Resources.Methods in molecular biology (Clifton, N.J.) · 2021Review
- The Ubiquitin Gene Expression Pattern and Sensitivity toInternational journal of molecular sciences · 2020Article
- OncoMX: A Knowledgebase for Exploring Cancer Biomarkers in the Context of Related Cancer and Healthy Data.JCO clinical cancer informatics · 2020Article
- CancerLivER: a database of liver cancer gene expression resources and biomarkers.Database : the journal of biological databases and curation · 2020Article
- LINC00319-Mediated miR-3127 Repression Enhances Bladder Cancer Progression Through Upregulation of RAP2A.Frontiers in genetics · 2020Article
- An enhanced chemopreventive effect of methyl donor S-adenosylmethionine in combination with 25-hydroxyvitamin D in blocking mammary tumor growth and metastasis.Bone research · 2020Article
- uPAR antibody (huATN-658) and Zometa reduce breast cancer growth and skeletal lesions.Bone research · 2020Article
- Long noncoding RNA DLX6-AS1 promotes cell growth and invasiveness in bladder cancer via modulating the miR-223-HSP90B1 axis.Cell cycle (Georgetown, Tex.) · 2019Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BioXpress is a gene expression and cancer association database in which the expression levels are mapped to genes using RNA-seq data obtained from The Cancer Genome Atlas, International Cancer Genome Consortium, Expression Atlas and publications. The BioXpress database includes expression data from 64 cancer types, 6361 patients and 17 469 genes with 9513 of the genes displaying differential expression between tumor and normal samples. In addition to data directly retrieved from RNA-seq data repositories, manual biocuration of publications supplements the available cancer association annotations in the database. All cancer types are mapped to Disease Ontology terms to facilitate a uniform pan-cancer analysis. The BioXpress database is easily searched using HUGO Gene Nomenclature Committee gene symbol, UniProtKB/RefSeq accession or, alternatively, can be queried by cancer type with specified significance filters. This interface along with availability of pre-computed downloadable files containing differentially expressed genes in multiple cancers enables straightforward retrieval and display of a broad set of cancer-related genes.
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Registered trials
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