SERVICES
      Quick Link : GeneCards¢ç, Sequnce Anlaysis(BLAST-Plant, Solanaceae), Peptide Mass FingerPrinting.
        MIRROR SITES
   GeneCards¢çVersion 2.32
      This service is provided free to academic non-profit institutions. ALL other users require a Commercial License from XenneX, Inc.
      Unauthorized usage of this service is in breach of the terms and conditions of this web site, and may cause the user to incur fees for usage.

      GeneCards¢ç is a database of human genes, their products and their involvement in diseases.
      It offers concise information about the functions of all human genes that have HGNC-approved symbols, as well as other genes.

Total GeneCards 35401
HGNC approved 20799
Category Number of cards* Example
Protein-coding 26614                           A1BG
Pseudogenes 4607                           A2MP
RNA genes 536                           ALFN1
Genetic loci 1144                           AA
Gene clusters 63                           TRA@
HGNC reserved symbols 99                           ABCG3
Uncategorized 2338                           AABT

        SEQUENCE ANALYSIS Top   
   Plant
   Solanaceae Hot Pepper ESTs
   BLASTN 2.2.10 [Oct-19-2004]
      Reference: Altschul, Stephen F., Thomas L. Madden, Alejandro A. Schäffer, Jinghui Zhang, Zheng Zhang, Webb Miller, and David J. Lipman (1997),
      "Gapped BLAST and PSI-BLAST: a new generation of protein database search programs", Nucleic Acids Res. 25:3389-3402.
        Peptide Mass Fingerprinting Top   
   peptide Mass Fingerprinting
   Instrunction
      Mass spectrometry is a rapidly growing field of protein analysis, which is proving useful in the identification of proteins separated by 2-D
      gel electrophoresis.
      The most common mass spectrometry protein identification technique is called peptide mass fingerprinting.
      This involves the generation of peptides from proteins using residue-specific enzymes, the determination of peptide masses by spectrometric
      techniques, and the matching of these masses against theoretical peptide libraries generated from protein sequence databases to create a list
      of likely protein identifications.
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