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Endometrial Cancer Gene Database: Cataloguing Genes Implicated in Gynecological Cancer

ECDB is the first-ever database cataloguing genes involved in endometrial cancer. The user-friendly interface allows easy access to the genes in ECDB. If you encounter any issues, refer to the provided slides. For queries, contact Dr. Subhash M. Agarwal, a scientist at the Bioinformatics Division, Institute of Cytology and Preventive Oncology (ICMR) in Noida, India. Search genes by gene name, gene ID, chromosome, homologene ID, and more. Browse genes alphabetically or categorically, and perform comparative analyses in other cancer databases. Easily access details on gene ontology, homology, proteins, pathways, and more. User can also BLAST query sequences (DNA/Protein) of interest.

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Endometrial Cancer Gene Database: Cataloguing Genes Implicated in Gynecological Cancer

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  1. ECDB (ENDOMETRIAL CANCER GENE DATABASE) • The first ever database that catalogues the genes implicated in endometrial cancer one of the major gynecological cancer . • ECDB provides a user-friendly interface. • The following slides would help the user to access the genes in ECDB, in case of any problem. • Contact: Dr. Subhash M. Agarwal • (Scientist C, Bioinformatics Division) • Institute of Cytology and Preventive Oncology (ICMR) • I-7, Sec-39, Noida, INDIA 201 301 • email: smagarwal@yahoo.com

  2. QUERY KEYWORDS Search either by : GENE NAME GENE IDCHROMOSOME HOMOLOGENE ID

  3. CLICK ON GENE ID

  4. CLICK ON HGNC ID FOR ONTOLOGY DETAILS

  5. CLICK ON HOMOLOGENE ID FOR HOMOLOGENE DETAILS

  6. CLICK ON THIS FOR REFERENCE DETAILS

  7. CLICK ON THIS FOR PROTEIN DETAILS

  8. CLICK ON THIS FOR STRUCTURE DETAILS

  9. CLICK ON THIS FOR mRNA DETAILS

  10. CLICK ON THIS FOR CDS DETAILS

  11. CLICK ON THIS FOR PROTEIN DETAILS

  12. CLICK ON THIS FOR PFAM DETAILS

  13. CLICK ON THIS FOR PROFILE DETAILS

  14. CLICK ON THIS FOR PATTERN DETAILS

  15. CLICK ON THIS FOR SUPERFAMILY DETAILS

  16. CLICK ON THIS FOR PATHWAY DETAILS

  17. CLICK THIS for comparative analysis in other cancer databases

  18. User can easily browse the genes either alphabetically, or can access complete list or can through by category wise

  19. User can BLAST their interested query sequences (DNA/Protein)

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