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Through the rapid development of proteomics methods and
technologies, an enormous amount of data was created, leading to a
wide-spread rethinking of strategy design and data interpretation.
In Data Mining in Proteomics: From Standards to Applications,
experts in the field present these new insights within the
proteomics community, taking the historical evolution as well as
the most important international standardization projects into
account. Along with basic and sophisticated overviews of proteomics
technologies, standard data formats, and databases, the volume
features chapters on data interpretation strategies including
statistics, spectra interpretation, and analysis environments as
well as specialized tasks such as data annotation, peak picking,
phosphoproteomics, spectrum libraries, LC/MS imaging, and splice
isoforms. As a part of the highly successful Methods in Molecular
Biology(TM) series, this work provides the kind of detailed
description and implementation advice that is crucial for getting
optimal results. Authoritative and cutting-edge, Data Mining in
Proteomics: From Standards to Applications is a well-balanced
compendium for beginners and experts, offering a broad scope of
data mining topics but always focusing on the current
state-of-the-art and beyond.
Through the rapid development of proteomics methods and
technologies, an enormous amount of data was created, leading to a
wide-spread rethinking of strategy design and data interpretation.
In Data Mining in Proteomics: From Standards to Applications,
experts in the field present these new insights within the
proteomics community, taking the historical evolution as well as
the most important international standardization projects into
account. Along with basic and sophisticated overviews of proteomics
technologies, standard data formats, and databases, the volume
features chapters on data interpretation strategies including
statistics, spectra interpretation, and analysis environments as
well as specialized tasks such as data annotation, peak picking,
phosphoproteomics, spectrum libraries, LC/MS imaging, and splice
isoforms. As a part of the highly successful Methods in Molecular
Biology (TM) series, this work provides the kind of detailed
description and implementation advice that is crucial for getting
optimal results. Authoritative and cutting-edge, Data Mining in
Proteomics: From Standards to Applications is a well-balanced
compendium for beginners and experts, offering a broad scope of
data mining topics but always focusing on the current
state-of-the-art and beyond.
Cities play a major role in tackling the COVID-19 pandemic as many
measures are adopted at the scale of cities and involve adjustments
to the way urban areas operate. Drawing from case studies across
the globe, this book explores how the pandemic and the policies it
has prompted have caused changes in the ways cities function. The
contributors examine the advancing social inequality brought on by
the pandemic and suggest policies intended to contain contagion
whilst managing the economy in these circumstances. Offering
crucial insights for reforming cities to be more resilient to
future crises, this is an invaluable resource for scholars and
policy makers alike.
This is a reproduction of a book published before 1923. This book
may have occasional imperfections such as missing or blurred pages,
poor pictures, errant marks, etc. that were either part of the
original artifact, or were introduced by the scanning process. We
believe this work is culturally important, and despite the
imperfections, have elected to bring it back into print as part of
our continuing commitment to the preservation of printed works
worldwide. We appreciate your understanding of the imperfections in
the preservation process, and hope you enjoy this valuable book.
++++ The below data was compiled from various identification fields
in the bibliographic record of this title. This data is provided as
an additional tool in helping to ensure edition identification:
++++ Virorum Clarissimorum Epistolae Selectiores Christian Stephan
Scheffel
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