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Cited by 735

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Automation of the computer handling of gel reading data produced by the shotgun method of DNA sequencing

Open access
Staden, Roger·1982·Nucleic Acids Research

Abstract

This paper describes a computer method for handling gel reading data produced by the shotgun method of DNA sequencing. The method greatly reduces the time the sequencer needs to spend checking and editing his data and yet it produces a consensus sequence for which the accuracy of determination of every base can be clearly shown. The program can take a batch of new gel readings, screen them against vector sequences removing any that match, and then compare and align all the sequences to produce a final consensus. No information is lost in this process as alignments are achieved by making only insertions and because all the individual gel readings are added to a database from which they can be retrieved and displayed lined up one above the other. This allows the user to check on the alignments achieved by the program and if necessary change them. As each gel reading is added to the database the consensus is automatically updated accordingly and used for the next comparisons. This is a much faster process than comparing each new gel against every individual gel in the database.

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Crossref · 10.1093/nar/10.15.4731

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Metadata

Authors
Staden, R.
Venue
Nucleic Acids Research
Published
1982
Volume
10
Issue
15
Pages
4731-4751
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2152825059
Cited by
735
References
1
FWCI
18.66
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Automation of the computer handling of gel reading data produced by the shotgun method of DNA sequencing. https://app.cochat.ai/papers/10.1093/nar/10.15.4731
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Staden, R. (1982). Automation of the computer handling of gel reading data produced by the shotgun method of DNA sequencing. Nucleic Acids Research. https://doi.org/10.1093/nar/10.15.4731

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.