Sequence data analysis guidebook (13 Ergebnisse)

Zustand: 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.

Zustand: 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. …

gebundene Ausgabe. Zustand: 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.…

HC. Zustand: Gut. Opb., 324s., in gutem Zustand,[LSC13,1b]. () Deu 700g.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: 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. . . . . …

Zustand: 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. Zustand: 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. …

Gebunden. Zustand: 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. Zustand: Brand New. 333 pages. 9.10x6.00x0.76 inches. In Stock.

Zustand: 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. …

Zustand: 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.…

Buch. Zustand: 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.'.…