sequence data analysis guidebook (35 résultats)

Etat : Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,800grams, ISBN:9780896033580.

Etat : Good. Good condition. Volume 70. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.

gebundene Ausgabe. Etat : Neu. 1997. 324 pp., numerous figs., hardcover Neu; Originalverpackt! Versandfertig am nächsten Tag; Rechnung mit MwSt. liegt bei! Demonstrates how to examine the data produced by modern automated sequencers, how to assess its quality, how to remove extraneous data, and how to align multiple overlapping sequence fragments for either assembly into sequence contigs or comparison with Sprache: Englisch.

Gb. Etat : Neu. Gebraucht - Sehr gut ungelesen, sehr guter Zustand; Rechnung mit MwSt.; unused/unread, very good condition; -Leading researchers concisely summarize their hands-on experiences and methods for successfully using the most popular sequence analysis software packages available. These experts demonstrate how to examine the data produced by modern automated sequencers, how to assess its quality, how to remove extraneous data, how to align multiple overlapping sequence fragments for either assembly into sequence contigs or comparison with similar sequences from different sources. Procedures for comparing newly derived sequences with the massive amounts of information in the sequence databases are fully covered, as are techniques for performing restriction analysis, searching for open reading frames, calculating the translation products of open reading frames, and making detailed analyses of the expressed 'proteins.' 324 pp. Englisch.

Gb. Etat : Neu. Gebraucht - Sehr gut ungelesen, sehr guter Zustand; Rechnung mit MwSt.; unused/unread, very good condition; -Leading researchers concisely summarize their hands-on experiences and methods for successfully using the most popular sequence analysis software packages available. These experts demonstrate how to examine the data produced by modern automated sequencers, how to assess its quality, how to remove extraneous data, how to align multiple overlapping sequence fragments for either assembly into sequence contigs or comparison with similar sequences from different sources. Procedures for comparing newly derived sequences with the massive amounts of information in the sequence databases are fully covered, as are techniques for performing restriction analysis, searching for open reading frames, calculating the translation products of open reading frames, and making detailed analyses of the expressed 'proteins.' 324 pp. Englisch.

Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

gebunden. Opb., 324s., in gutem Zustand,[AKN11,2]. () Deu 700g.

Etat : New.

Etat : New. Satisfaction Guaranteed or your money back.

Etat : New. In.

Etat : New. In.

Etat : New.

Etat : New. Editor(s): Swindell, Simon R. Series: Methods in Molecular Biology. Num Pages: 324 pages, biography. BIC Classification: PSF. Category: (P) Professional & Vocational. Dimension: 230 x 152 x 18. Weight in Grams: 488. . 2013. Softcover reprint of the original 1st ed. 1997. Paperback. . . . .

Etat : New. Summaraizes methods for successfully using sequence analysis software packages. This work shows how to examine the data produced by automated sequencers, how to assess its quality, how to remove extraneous data, how to align multiple overlapping sequence fragments for either assembly into sequence contigs or comparison with similar sequences. Series: Methods in Molecular Biology. Num Pages: 324 pages, biography. BIC Classification: PDN; PSF; UY. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 229 x 148 x 20. Weight in Grams: 653. . 1996. Hardback. . . . .

Taschenbuch. Etat : Neu. Sequence Data Analysis Guidebook | Simon R. Swindell | Taschenbuch | ix | Englisch | 2013 | Humana | EAN 9781489943385 | Verantwortliche Person für die EU: Humana Press in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Etat : New. pp. 340.

Etat : New. pp. 336.

Gebunden. Etat : New. Computers have revolutionized the analysis of sequencing data. It is unlikely that any sequencing projects have been performed in the last few years without the aid of computers. Recently their role has taken a further major step forward. Computers have bec.

Paperback. Etat : Brand New. 333 pages. 9.10x6.00x0.76 inches. In Stock.

Etat : New. Editor(s): Swindell, Simon R. Series: Methods in Molecular Biology. Num Pages: 324 pages, biography. BIC Classification: PSF. Category: (P) Professional & Vocational. Dimension: 230 x 152 x 18. Weight in Grams: 488. . 2013. Softcover reprint of the original 1st ed. 1997. Paperback. . . . . Books ship from the US and Ireland.

Etat : New. Summaraizes methods for successfully using sequence analysis software packages. This work shows how to examine the data produced by automated sequencers, how to assess its quality, how to remove extraneous data, how to align multiple overlapping sequence fragments for either assembly into sequence contigs or comparison with similar sequences. Series: Methods in Molecular Biology. Num Pages: 324 pages, biography. BIC Classification: PDN; PSF; UY. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 229 x 148 x 20. Weight in Grams: 653. . 1996. Hardback. . . . . Books ship from the US and Ireland.

Paperback. Etat : Like New. Like New. book.

Etat : As New. Unread book in perfect condition.

Hardcover. Etat : Like New. Like New. book.

Etat : As New. Unread book in perfect condition.

Buch. Etat : Neu. Neuware - Leading researchers concisely summarize their hands-on experiences and methods for successfully using the most popular sequence analysis software packages available. These experts demonstrate how to examine the data produced by modern automated sequencers, how to assess its quality, how to remove extraneous data, how to align multiple overlapping sequence fragments for either assembly into sequence contigs or comparison with similar sequences from different sources. Procedures for comparing newly derived sequences with the massive amounts of information in the sequence databases are fully covered, as are techniques for performing restriction analysis, searching for open reading frames, calculating the translation products of open reading frames, and making detailed analyses of the expressed 'proteins.'.

Etat : new. Questo è un articolo print on demand.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Computers have revolutionized the analysis of sequencing data. It is unlikely that any sequencing projects have been performed in the last few years without the aid of computers. Recently their role has taken a further major step forward. Computers have become smaller and more powerful and the software has become simpler to use as it has grown in sophistication. This book reflects that change since the majority of packages described here are designed to be used on desktop computers. Computer software is now available that can run gels, collect data, and assess its accuracy. It can assemble, align, or compare multiple fragments, perform restriction analyses, identify coding regions and specific motifs, and even design the primers needed to extend the sequencing. Much of this soft ware may now be used on relatively inexpensive computers. It is now possible to progress from isolate d DNA to database submission without writing a single base down. To reflect this progression, the chapters in our Sequence Data Analysis Guidebook are arranged, not by software package, but by fimction. The early chapters deal with examining the data produced by modem automated sequenc ers, assessing its quality, and removing extraneous data. The following chap ters describe the process of aligning multiple sequences in order to assemble overlapping fragments into sequence contigs to compare similar sequences from different sources. Subsequent chapters describe procedures for compar ing the newly derived sequence to the massive amounts of information in the sequence databases. 336 pp. Englisch.

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Computers have revolutionized the analysis of sequencing data. It is unlikely that any sequencing projects have been performed in the last few years without the aid of computers. Recently their role has taken a further major step forward. Computers have bec.

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Computers have revolutionized the analysis of sequencing data. It is unlikely that any sequencing projects have been performed in the last few years without the aid of computers. Recently their role has taken a further major step forward. Computers have become smaller and more powerful and the software has become simpler to use as it has grown in sophistication. This book reflects that change since the majority of packages described here are designed to be used on desktop computers. Computer software is now available that can run gels, collect data, and assess its accuracy. It can assemble, align, or compare multiple fragments, perform restriction analyses, identify coding regions and specific motifs, and even design the primers needed to extend the sequencing. Much of this soft ware may now be used on relatively inexpensive computers. It is now possible to progress from isolate d DNA to database submission without writing a single base down. To reflect this progression, the chapters in our Sequence Data Analysis Guidebook are arranged, not by software package, but by fimction. The early chapters deal with examining the data produced by modem automated sequenc ers, assessing its quality, and removing extraneous data. The following chap ters describe the process of aligning multiple sequences in order to assemble overlapping fragments into sequence contigs to compare similar sequences from different sources. Subsequent chapters describe procedures for compar ing the newly derived sequence to the massive amounts of information in the sequence databases.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 336 pp. Englisch.