Abstract
Understanding and managing genomic data has become a major bottleneck of biomedical research that calls for novel informatics approaches. The task is immensely complex: to “understand” the role of a protein for example implies inserting it into a host of interconnected and evolving frameworks of biological knowledge, including 3-D structures, molecular interactions, biochemical pathyways, genomic locations, spatial and temporal roles within the cell, the organism, the population and the species. Similarity based predictions play an important role in this process: similar biological functions or roles are mostly inferred from similar structure or similar molecular interactions, etc. This is usually carried out by comparing a protein sequence with a database of known sequences, using such programs as BLAST (Altschul et al., 1990; Altschul et al., 1997).
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Murvai, J., Vlahoviček, K., Pongor, S. (2001). Towards a Memory-Based Interpretation of Proteome Data. In: Pifat-Mrzljak, G. (eds) Supramolecular Structure and Function 7. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1363-6_13
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DOI: https://doi.org/10.1007/978-1-4615-1363-6_13
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