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  2. GeneCards - Wikipedia

    en.wikipedia.org/wiki/GeneCards

    Initially, the GeneCards database had two main features: delivery of integrated biomedical information for a gene in ‘card’ format, and a text-based search engine. Since 1998, the database has integrated more data resources and data types, such as protein expression and gene network information.

  3. Lists of human genes - Wikipedia

    en.wikipedia.org/wiki/Lists_of_human_genes

    Human protein-coding gene pages: •Python code for maintaining the list •List of human protein-coding genes page 1 covers genes A1BG–EPGN •List of human protein-coding genes page 2 covers genes EPHA1–MTMR3

  4. List of databases for oncogenomic research - Wikipedia

    en.wikipedia.org/wiki/List_of_databases_for_onco...

    Database Institute / Organization Alteration Types Primary Source [t 1] Processed Data [t 2] Organisms Cell lines [t 3] Public Data [t 4] Restricted Data [t 5]; The BioExpress® Oncology Suite from Ocimum Bio Solutions contains gene expression data from primary, metastatic, and benign tumor samples, and normal samples, including matched adjacent controls.

  5. Online Mendelian Inheritance in Man - Wikipedia

    en.wikipedia.org/wiki/Online_Mendelian...

    DECIPHER, a database of chromosomal imbalance and associated phenotype in humans, using Ensembl resources. MARRVEL, a website that uses OMIM as one of the six human genetic databases and seven model organism databases to integrate information.

  6. Multi-Omics Profiling Expression Database - Wikipedia

    en.wikipedia.org/wiki/Multi-Omics_Profiling...

    The Multi-Omics Profiling Expression Database (MOPED) was an expanding multi-omics resource that supports rapid browsing of transcriptomics and proteomics information from publicly available studies on model organisms and humans. [2] As to date (2021) it has ceased activities and is unaccessible online. [3]

  7. DisGeNET - Wikipedia

    en.wikipedia.org/wiki/DisGeNET

    The DisGeNET database integrates over 400 000 associations between > 17 000 genes and > 14 000 diseases from human to animal model expert curated databases with text mined GDAs from MEDLINE using a NLP-based approach. [4] The highlights of DisGeNET are the data integration, standardisation and a fine-grained tracking of the provenance information.