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2022
The collection and understanding of biological sequences once founded bioinformatics as a scientific field, and is still the most common reception even outside the scientific community. In this chapter we introduce principles of sequence analysis, starting on the biological backgrounds, up to algorithmic concerns.
Dörpinghaus, Jens +3 more
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The collection and understanding of biological sequences once founded bioinformatics as a scientific field, and is still the most common reception even outside the scientific community. In this chapter we introduce principles of sequence analysis, starting on the biological backgrounds, up to algorithmic concerns.
Dörpinghaus, Jens +3 more
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Research Methods in the Social Sciences: An A-Z of key concepts, 2021
This chapter explores sequence analysis (SA), which conceives the social world as happening in processes, in series of events experienced by social entities. SA refers to a set of tools used to summarize, represent, and compare sequences — i.e.
Thomas Collas, Philippe Blanchard
semanticscholar +1 more source
This chapter explores sequence analysis (SA), which conceives the social world as happening in processes, in series of events experienced by social entities. SA refers to a set of tools used to summarize, represent, and compare sequences — i.e.
Thomas Collas, Philippe Blanchard
semanticscholar +1 more source
Gene Analysis Techniques, 1987
There has been a rapid increase in the number of available protein sequences derived from gene-sequence information. Computer-based sequence analysis of proteins is gaining in importance as an analytical tool. With the help of these analyses such sequences may be characterized and some insights gained into their probable role in the system.
Jacob V. Maizel, Devjani Chatterjee
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There has been a rapid increase in the number of available protein sequences derived from gene-sequence information. Computer-based sequence analysis of proteins is gaining in importance as an analytical tool. With the help of these analyses such sequences may be characterized and some insights gained into their probable role in the system.
Jacob V. Maizel, Devjani Chatterjee
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Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids
, 1998Probablistic models are becoming increasingly important in analyzing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project.
R. Durbin +3 more
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DNA Sequence Analysis and Comparative Sequencing
Methods, 1998Abstract This article aims to give an introduction to comparative sequencing and analysis, containing a brief section on sequence production, but focusing on the computer-based ( in silico ) analysis of genomic sequence.
Ann-Marie Mallon, Mark A. Strivens
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Basic Protein Sequence Analysis [PDF]
Current Protocols in Molecular Biology, 2005 AbstractPrediction of molecular function of proteins has become an important task in the genomics era. A wide variety of sequence analysis tools are available to biologists for this task. We have selected one or two primary protocols for tasks such as domain detection, subcellular localization, and motif detection.
Nandini Krishnamurthy, Kimmen Sjölander
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Briefings Bioinform., 2019
With the avalanche of biological sequences generated in the post-genomic age, one of the most challenging problems is how to computationally analyze their structures and functions.
Bin Liu
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With the avalanche of biological sequences generated in the post-genomic age, one of the most challenging problems is how to computationally analyze their structures and functions.
Bin Liu
semanticscholar +1 more source
Sequence Analysis on Microcomputers
Science, 1987Overall, each of the program packages performed their tasks satisfactorily. For analyses where there was a well-defined answer, such as a search for a restriction site, there were few significant differences between the program sets. However, for tasks in which a degree of flexibility is desirable, such as homology or similarity determinations and ...
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Statistical Methods in Medical Research, 1993
Recent developments in the statistical analysis of DNA sequences are reviewed. The pace with which sequence data are being generated and analysed has increased with the growth of the human genome project. Two areas of activity are emphasized: attention to error rates in recorded sequences, and heterogeneity in structure of sequences.
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Recent developments in the statistical analysis of DNA sequences are reviewed. The pace with which sequence data are being generated and analysed has increased with the growth of the human genome project. Two areas of activity are emphasized: attention to error rates in recorded sequences, and heterogeneity in structure of sequences.
openaire +3 more sources