primary structure

(redirected from Biological sequence)
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pri·mar·y struc·ture

in a macromolecule, the sequence of subunits that make up that macromolecule; for example, the amino acid sequence of a protein.

primary structure

n.
The linear sequence of amino acids in a protein or of nucleotides in a nucleic acid.

primary structure

  1. the linear sequence of amino acids in a POLYPEPTIDE CHAIN.
  2. the NUCLEOTIDE SEQUENCE in nucleic acids.
References in periodicals archive ?
Experiments showed a clear progress in the retrieval of alignments for large biological sequences.
Most importantly, through this combined solution, pharmaceutical and biotechnology companies will finally be able to efficiently manage and query the wealth of biological sequences now at their disposal.
LASSAP has also been created to remove all the traditional limitations and bottlenecks that are normally seen from biological sequence data mining, leaving hardware and imagination the only limiting factors.
Gene-IT is a bioinformatics company that provides life-science research organizations with scalable high performance software and scientific expertise for biological sequence data mining.
The company's flagship product, GenomeQuest, is a web-based sequence information platform that enables users to exploit genomic information resources including next-generation sequencing tools and worldwide biological sequence reference databases.
Biological Sequence Analysis, South Asia Edition: Probabilistic Models of Proteins and Nucleic Acids Richard Durbin, Sean R.
Specifically, GQ-IP users will now have the option to review biological sequence patents directly on Questel's Orbit platform.
Financed by the Technical University of Denmark, the DeIC, and the University of Copenhagen, the Supercomputer - known as Computerome - is owned by CBS(Center for Biological Sequence Analysis); an organisation that conducts research in the field of bioinformatics and systems biology.
The material is organized into five sections that explore basic principles and methodologies of computational techniques, applications of computational intelligence and pattern analysis for biological sequence analysis, structural analysis; microarray data analysis, and systems biology.
These proceedings from the April 2008 workshop include two invited papers (on evolving models of biological sequence similarity and facets of approximate similarity search) along with 15 regular papers covering such subjects as the process of searching in specific metric spaces, spaces and similarities, distributed indexes, index organization and reorganization, and advanced similarity problems.
Chapters discuss a variety of topics: microarray image analysis and spot segmentation, a gene microarray cross platform study, the false discovery rate-based computational framework for sample sized planning in microarray studies, biological sequence analysis by vector-valued functions, segmentation of genomic DNA sequences, a method for constructing large DNA codesets, modeling methods for fell phase classification, the diagnosis of breast cancer using digital mammography, and online mining and annotation of biomedical literature using Google.

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