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Unraveling single-molecule reactions via multiplexed in-situ DNA sequencing

Hazra JP, Andrews R, Turner P, Zhao Q, Steuer H, El-Sagheer AH, Mazumder A, El Sayyed H, Kümmerlin M, Brown T, Kapanidis AN.   +10 more
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COMPUTATIONAL DNA SEQUENCE ANALYSIS

Annual Review of Microbiology, 1994
This paper reviews several new developments in computer and statistical analysis of DNA and protein sequences. We present criteria and describe means for assessing and interpreting genomic inhomogeneities within and between sequences. These include: (a) characterizations of short oligonucleotide biases and general compositional tendencies; (b ...
S, Karlin, L R, Cardon
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Wavelet analysis of DNA sequences

Physical Review E, 1996
In this paper we use wavelet analysis in order to probe the localized structure of DNA sequences. We demonstrate that, unlike other conventional approaches, wavelets are able to decompose seemingly homogeneous regions in noncoding sequences into smaller distinct regions that obey their own repetition and construction rules.
, Tsonis, , Kumar, , Elsner, , Tsonis
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Rapid DNA Sequence Analysi

CRC Critical Reviews in Biochemistry, 1979
(1979). Rapid DNA Sequence Analysi. CRC Critical Reviews in Biochemistry: Vol. 6, No. 1, pp. 1-33.
Gillian M. Air, Heinz Schaller
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DNA Sequence Analysis and Comparative Sequencing

Methods, 1998
Abstract 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.
A M, Mallon, M, Strivens
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DNA Sequencing Data Analysis

2018
Among various biological data, DNA sequence is doubtlessly a fundamental datum. By obtaining particular DNA sequence data and analyzing, biologists get to understand life science more precisely. This chapter is an overview of DNA sequencing technology and its data analysis methods, providing information about DNA sequencing, several different methods ...
Keyi, Long, Lei, Cai, Lin, He
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Analysis of DNA sequences

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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