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  ORFer - retrieval of protein sequences and open reading frames from GenBank and storage into relational databases or text files

Buessow, K., Hoffmann, S., & Sievert, V. (2002). ORFer - retrieval of protein sequences and open reading frames from GenBank and storage into relational databases or text files. BMC Bioinformatics, 3, 40-46.

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Genre: Journal Article
Alternative Title : BMC Bioinformatics

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 Creators:
Buessow, Konrad1, Author           
Hoffmann, Steve, Author
Sievert, Volker1, Author           
Affiliations:
1Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433550              

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 Abstract: Background Functional genomics involves the parallel experimentation with large sets of proteins. This requires management of large sets of open reading frames as a prerequisite of the cloning and recombinant expression of these proteins. Results A Java program was developed for retrieval of protein and nucleic acid sequences and annotations from NCBI GenBank, using the XML sequence format. Annotations retrieved by ORFer include sequence name, organism and also the completeness of the sequence. The program has a graphical user interface, although it can be used in a non-interactive mode. For protein sequences, the program also extracts the open reading frame sequence, if available, and checks its correct translation. ORFer accepts user input in the form of single or lists of GenBank GI identifiers or accession numbers. It can be used to extract complete sets of open reading frames and protein sequences from any kind of GenBank sequence entry, including complete genomes or chromosomes. Sequences are either stored with their features in a relational database or can be exported as text files in Fasta or tabulator delimited format. The ORFer program is freely available at http://www.proteinstrukturfabrik.de/orfer. Conclusion The ORFer program allows for fast retrieval of DNA sequences, protein sequences and their open reading frames and sequence annotations from GenBank. Furthermore, storage of sequences and features in a relational database is supported. Such a database can supplement a laboratory information system (LIMS) with appropriate sequence information.

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Language(s): eng - English
 Dates: 2002
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 173657
ISI: 000181476800040
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Title: BMC Bioinformatics
  Alternative Title : BMC Bioinformatics
Source Genre: Journal
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Publ. Info: -
Pages: - Volume / Issue: 3 Sequence Number: - Start / End Page: 40 - 46 Identifier: ISSN: 1471-2105