Download Bioinformatics for Immunomics by Matthew N. Davies, Darren R. Flower (auth.), Darren D.R. PDF

By Matthew N. Davies, Darren R. Flower (auth.), Darren D.R. Flower, Matthew Davies, Shoba Ranganathan (eds.)

The box of Immunomics has constructed in the post-genomic period as a reaction to the big volume of organic and immunological facts now on hand to researchers. Immunomics crosses the disciplines of immunology, genomics, proteomics and computational biology and deal with a few basic difficulties in organic and scientific study. This booklet covers many of the wealthy resources of immunological information which are at present to be had and describes a number of the bioinformatics recommendations which were applied to assist our figuring out of the immune approach. It additionally describes the character of the self/non-self contrast that varieties the root of immunological concept and the way computational modeling can assist to explain our figuring out of ways the immune process works.

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Extra resources for Bioinformatics for Immunomics

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The interface can be used without prior knowledge of which alleles are linked to the cells or from the allele reports. The interface allows the user to search on known cell fields. The cells all have a primary name and accession number that are unique within the database. As some cells are sequenced by different groups, or certain names are repeated, the database also contains a list of aliases for each cell. These aliases are automatically 26 J. E. Marsh searched whenever the cell name field is queried.

The main access point for the user is the World Wide Web, which allows the users to employ a number of search tools and other facilities to retrieve, manipulate and analyse HLA data. This is all done through the custom written Common Gateway Interface (CGI) scripts available at the IMGT/HLA website. The IMGT/HLA website can be split into three main areas. First, information and help pages that provide background on the database, provide in-depth help on the tools and data available and documentation of the IMGT/HLA file formats.

R. Flower Wan J et al (2006) SVRMHC prediction server for MHC-binding peptides. BMC Bioinformatics 7:463 Winnenburg R, Urban M, Beacham A, Baldwin TK, Holland S, Lindeberg M, Hansen H, Rawlings C, Hammond-Kosack KE, Köhler J (2008) PHI-base update: additions to the pathogen host interaction database. Nucleic Acids Res 36(Database issue):D572–D576 Wizemann TM et al (2001) Use of a whole genome approach to identify vaccine molecules affording protection against Streptococcus pneumoniae infection.

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