Computational methods for biological sequence analysis

  • Is bioinformatics the use of computational approaches to Analyse biological data?

    Bioinformatics is a multidisciplinary field comprising primarily molecular biology, genetics, computer science, mathematics, and statistics.
    Computational approaches are used to address data-intensive, complex biological challenges..

  • What are the computational tools used for sequence analysis?

    Two important algorithms for aligning pairs of sequences are the Needleman-Wunsch algorithm and the Smith-Waterman algorithm.
    Popular tools for sequence alignment include: Pair-wise alignment - BLAST, Dot plots.
    Multiple alignment - ClustalW, PROBCONS, MUSCLE, MAFFT, and T-Coffee..

  • What is a biological sequence in computational biology?

    A biological sequence is a single, continuous molecule of nucleic acid or protein.
    It can be thought of as a multiple inheritance class hierarchy.
    One hierarchy is that of the underlying molecule type: DNA, RNA, or protein..

  • What is a computational analysis of biological information called?

    Bioinformatics is defined as the application of tools of computation and analysis to the capture and interpretation of biological data.
    It is an interdisciplinary field, which harnesses computer science, mathematics, physics, and biology (fig ​ 1)..

  • What is DNA sequence analysis in computational biology?

    In bioinformatics, sequence analysis is the process of subjecting a DNA, RNA or peptide sequence to any of a wide range of analytical methods to understand its features, function, structure, or evolution.
    Methodologies used include sequence alignment, searches against biological databases, and others..

  • What is the use of computational tools to organize and analyze biological data?

    Bioinformatics is defined as the application of tools of computation and analysis to the capture and interpretation of biological data.
    It is an interdisciplinary field, which harnesses computer science, mathematics, physics, and biology (fig ​ 1)..

  • What is the zone of sequence analysis in computational biology?

    The area of sequence analysis is very broad; here, we analyze the nucleotide or protein sequence of any organism for several purposes.
    Here, we can analyze single or multiple sequences to find out similarity and identity among them via several sequence alignment tools, such as BLAST and FASTA Clustal..

  • Which field of computational science has to do with the analysis of sequences of biological molecules?

    Bioinformatics is defined as the application of tools of computation and analysis to the capture and interpretation of biological data.
    It is an interdisciplinary field, which harnesses computer science, mathematics, physics, and biology (fig ​ 1)..

  • A biological sequence is a single, continuous molecule of nucleic acid or protein.
    It can be thought of as a multiple inheritance class hierarchy.
    One hierarchy is that of the underlying molecule type: DNA, RNA, or protein.
  • Bioinformatics is a multidisciplinary field comprising primarily molecular biology, genetics, computer science, mathematics, and statistics.
    Computational approaches are used to address data-intensive, complex biological challenges.
  • Two important algorithms for aligning pairs of sequences are the Needleman-Wunsch algorithm and the Smith-Waterman algorithm.
    Popular tools for sequence alignment include: Pair-wise alignment - BLAST, Dot plots.
    Multiple alignment - ClustalW, PROBCONS, MUSCLE, MAFFT, and T-Coffee.
Artificial intelligence and machine learning methods have been used successfully in analyzing sequence data and have played an important role in elucidating many biological functions, such as protein functional classification, active site recognition, protein structural features identification, and disease prediction
Examples of such methods include the use of probabilistically derived score matrices to determine the significance of sequence alignments, the use of hidden Markov models as the basis for profile searches to identify distant members of sequence families, and the inference of phylogenetic trees using maximum likelihood
These methods mostly work on sequence analysis techniques like clustering short reads to calculate their frequency and quality scores. It is followed by read 

Categories

Computer teaching methods pdf
Computer teaching methods
Computational methods in science and technology
Computational methods artificial intelligence
Computer aided methods
Approach computational biology
Computational methods in systems biology
Computational methods in synthetic biology
Computational structural biology methods and applications
Computational methods in circuit simulation
Advanced computational methods in civil engineering
Computational methods in circuit simulation pdf
Computation direct method
Computational diagnostic techniques for electrocardiogram signal analysis
Computer display methods
Computational methods in ordinary differential equations
Computational methods finite element
Computational finite methods
Computational methods in financial mathematics
Computational methods in financial engineering