Abstract: The invention provides a peptide having at least about 75% amino acid homology with the sequence shown in SEQ ID No: 2. The peptide of the invention also can include an amino acid homology with the sequence shown in SEQ ID No: 2 corresponding to at least about 80%, at least about 85%, at least about 90% or can include the amino acid sequence shown in SEQ ID No: 2. The peptide of the invention can further include an amino acid sequence selected from the sequences shown in SEQ ID Nos: 1, 3 or 4-6.

Abstract: The present invention relates generally to a method for assessing data sets, such as multi-parametric data sets. More particularly, the present invention contemplates a method for determining differences between objects in a data set wherein each object is described using one or more parameters. The present invention is particularly useful inter alia in the field of bioinformatics such as to determine differences in populations of nucleotide or amino acid sequences [100]. Such differences are referred to herein as polymorphisms such as polymorphisms within a sequence database. Populations so identified [110] may provide a fingerprint of inter alia a particular nucleic acid molecule, protein, trait or disease condition. The present invention extends, however, to identifying sub-populations of data relevant inter alia to commerce, industry or the environment.

Abstract: The present invention relates generally to a method of amplifying closed circular nucleic acid probes and, more particularly, to a method of amplifying closed circular nucleic acid probes by rolling circle amplification. The method of the present invention is useful in a range of applications involving the detection of nucleic acid sequences such as, but not limited to, the identification of genetic disorders, genetic variants or the presence of microbiological or viral agents.