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Development of informatics tools for complex gene systems: Killer-Cell immunoglobulin-like receptor genes
- Source :
- Tissue Antigens. 61:118-135
- Publication Year :
- 2003
- Publisher :
- Wiley, 2003.
-
Abstract
- Killer-cell immunoglobulin-like receptors (KIRs) are a newly described family of polymorphic and highly homologous genes that have been difficult to classify and characterize. Before comprehensive analyzes of the genes are completed, researchers must struggle with completing the task of classifying and characterizing what is currently known. A collection and alignment of all KIR sequences found in GenBank was created to facilitate oligonucleotide reagent development and to provide an overall picture of this complex gene system. Two methods, a direct measurement of homology and phylogenetic analysis, were used to categorize sequences previously not specifically identified as belonging to a particular locus. The two methods agreed for 64.2% of sequences. A further 22.6% of uncategorized sequences were specified by only one method, although the assignments were consistent. Some sequences (11.3%) could not be assigned to a locus by either method. For one sequence, the two methods disagreed as to the locus assignment (1.9%). The failure to categorize a sequence was usually related to the short length of the sequence and the similarity among KIR loci. The tools developed in this study have been valuable in the analyses of KIR sequences and can be used for any complex gene system.
- Subjects :
- DNA, Complementary
Sequence analysis
Molecular Sequence Data
Immunology
Killer-cell immunoglobulin-like receptor
Locus (genetics)
Sequence alignment
Biology
Biochemistry
Homology (biology)
Receptors, KIR
Sequence Homology, Nucleic Acid
Genetics
Humans
Immunology and Allergy
Receptors, Immunologic
Gene
Phylogeny
Base Sequence
Phylogenetic tree
Computational Biology
General Medicine
Killer Cells, Natural
Multigene Family
GenBank
Databases, Nucleic Acid
Sequence Alignment
Subjects
Details
- ISSN :
- 13990039 and 00012815
- Volume :
- 61
- Database :
- OpenAIRE
- Journal :
- Tissue Antigens
- Accession number :
- edsair.doi.dedup.....fc95ea031b4d9a28c3a1bf3cec5bf521
- Full Text :
- https://doi.org/10.1046/j.0001-2815.2002.00005.x