1.

Record Nr.

UNINA990003754380403321

Autore

Guillermaz, Jacques

Titolo

Storia del Partito comunista cinese (1921-1949) / Jacques Guillermaz ; traduzione dal francese di Bruno Crimi

Pubbl/distr/stampa

Milano : Feltrinelli, 1970

Descrizione fisica

536 p. : 24 c. geogr. ; 22 cm

Collana

I fatti e le idee ; 205

Disciplina

324.251 075

335.434 5

951.04

Locazione

BFS

Collocazione

324.251075 GUI 1

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Trad. di Histoire du Parti Communiste Chinois (1921-1949)



2.

Record Nr.

UNINA9910829976803321

Titolo

Computational methods for mass spectrometry proteomics [[electronic resource] /] / Ingvar Eidhammer ... [et al.]

Pubbl/distr/stampa

Chichester, England ; ; Hoboken, NJ, : John Wiley & Sons, c2007

ISBN

1-281-32178-8

9786611321789

0-470-72430-7

0-470-72429-3

Descrizione fisica

1 online resource (298 p.)

Altri autori (Persone)

EidhammerIngvar

Disciplina

572.60285

572/.60285

Soggetti

Proteomics - Data processing

Mass spectrometry - Data processing

Bioinformatics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references (p. [265]-275) and index.

Nota di contenuto

Protein, proteome, and proteomics -- Protein separation : 2D gel electrophoresis -- Protein digestion -- Peptide separation : HPLC -- Fundamentals of mass spectrometry -- Mass spectrometry : MALDI-TOF -- Protein identification and characterization by MS -- Tandem MS or MS/MS analysis -- Fragmentation models -- Identification and characterization by MS/MS -- Spectral comparisons -- Sequential comparison : de novo sequencing -- Database searching for de novo sequences -- Large-scale proteomics -- Quantitative MS-based proteomics -- Peptides to proteins -- Top-down proteomics -- Standards.

Sommario/riassunto

Proteomics is the study of the subsets of proteins present in different parts of an organism and how they change with time and varying conditions. Mass spectrometry is the leading technology used in proteomics, and the field relies heavily on bioinformatics to process and analyze the acquired data.   Since recent years have seen tremendous developments in instrumentation and proteomics-related bioinformatics, there is clearly a need for a solid introduction to the



crossroads where proteomics and bioinformatics meet. Computational Methods for Mass Spectrometry Proteomics describ