1.

Record Nr.

UNISA996394915203316

Autore

Carleton George <1559-1628.>

Titolo

An examination of those things wherein the author of the late appeale holdeth the doctrines of the Pelagians and Arminians, to be the doctrines of the Church of England. Written by George Carleton Dr. of Divinitie, and Bishop of Chichester [[electronic resource]]

Pubbl/distr/stampa

London, : Printed [By Nicholas Okes] for William Turner [, Oxford], MDCXXVI. [1626]

Edizione

[The second edition,]

Descrizione fisica

[8], 149, 190-236; [4], 26, [2] p

Soggetti

Theology, Doctrinal

Pelagianism

Arminianism

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

A reply to: Montagu, Richard.  Appello Caesarem.

The roman numeral date is made with turned C's.

Printer's name from STC.

Includes "A ioynt attestation, avowing that the discipline of the Church of England was not impeached by the Synode of Dort" by Walter Balcanquhall, previously issued as STC 1239.

The first leaf and the last leaf are blank.

A variant of the edition with M. Sparkes' name in the imprint.

Reproduction of the original in the Henry E. Huntington Library and Art Gallery.

Sommario/riassunto

eebo-0113



2.

Record Nr.

UNISOBSOB0000003216

Titolo

Michael Sweerts e i bamboccianti

Pubbl/distr/stampa

Roma, : Lorenzo Del Turco, 1958

Descrizione fisica

86 p. : 94 tavv. ; 21 cm.

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia

3.

Record Nr.

UNINA9910298322703321

Titolo

High-Performance In-Memory Genome Data Analysis : How In-Memory Database Technology Accelerates Personalized Medicine / / edited by Hasso Plattner, Matthieu-P. Schapranow

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014

ISBN

3-319-03035-3

Edizione

[1st ed. 2014.]

Descrizione fisica

1 online resource (239 p.)

Collana

In-Memory Data Management Research, , 2196-8055

Disciplina

502.85

572.80285

Soggetti

Bioinformatics

Computational biology

Information technology

Business—Data processing

Statistics

Biomathematics

Medical informatics

Computer Appl. in Life Sciences

Computational Biology/Bioinformatics

IT in Business

Statistics and Computing/Statistics Programs

Genetics and Population Dynamics

Health Informatics

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 and index.

Nota di contenuto

1. Innovations for Personalized Medicine -- 2. Modeling Genome Data Processing Pipelines -- 3. Scheduling and Execution of Genome Data processing Pipelines -- 4. Exchanging Medical Knowledge -- 5. Billing Processes in Personalized Medicine -- 6. Real-time Analysis of Patient Cohorts -- 7. Ad-hoc Analysis of Genetic Pathways -- 8. Combined Search in Structured and Unstructured Medical Data -- Real-time Collaboration in the Course of Personalized Medicine.

Sommario/riassunto

 Recent achievements in hardware and software developments have enabled the introduction of a revolutionary technology: in-memory data management. This technology supports the flexible and extremely fast analysis of massive amounts of data, such as diagnoses, therapies, and human genome data. This book shares the latest research results of applying in-memory data management to personalized medicine, changing it from computational possibility to clinical reality. The authors provide details on innovative approaches to enabling the processing, combination, and analysis of relevant data in real-time. The book bridges the gap between medical experts, such as physicians, clinicians, and biological researchers, and technology experts, such as software developers, database specialists, and statisticians. Topics covered in this book include - amongst others - modeling of genome data processing and analysis pipelines, high-throughput data processing, exchange of sensitive data and protection of intellectual property. Beyond that, it shares insights on research prototypes for the analysis of patient cohorts, topology analysis of biological pathways, and combined search in structured and unstructured medical data, and outlines completely new processes that have now become possible due to interactive data analyses.