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This essential should serve as an introduction for a contemporary
public discussion on genetic engineering. Genetic engineering
affects us all in many areas and we must dare to think more
colorful and further. In fact, the complete genetic material of
viruses and bacteria can already be chemically produced and
"brought to life". With genetic surgery, medicine is at a
crossroads: do we want to treat hereditary diseases or "repair"
them genetically? And the analysis of thousands of human genetic
material reveals information that is related to complex diseases,
but also to characteristics such as intelligence. How should we use
this knowledge? The question is hardly whether we want genetic
engineering, but rather how we use it. This Springer essential is a
translation of the original German 1st edition essentials,
Gentechnik by Roebbe Wunschiers, published by The Editor(s) (if
applicable) and The Author(s), under exclusive license to Springer
Fachmedien Wiesbaden GmbH, part of Springer Nature in 2019. The
translation was done with the help of artificial intelligence
(machine translation by the service DeepL.com). A subsequent human
revision was done primarily in terms of content, so that the book
will read stylistically differently from a conventional
translation. Springer Nature works continuously to further the
development of tools for the production of books and on the related
technologies to support the authors.
This greatly expanded 2nd edition provides a practical introduction
to - data processing with Linux tools and the programming languages
AWK and Perl - data management with the relational database system
MySQL, and - data analysis and visualization with the statistical
computing environment R for students and practitioners in the life
sciences. Although written for beginners, experienced researchers
in areas involving bioinformatics and computational biology may
benefit from numerous tips and tricks that help to process, filter
and format large datasets. Learning by doing is the basic concept
of this book. Worked examples illustrate how to employ data
processing and analysis techniques, e.g. for - finding proteins
potentially causing pathogenicity in bacteria, - supporting the
significance of BLAST with homology modeling, or - detecting
candidate proteins that may be redox-regulated, on the basis of
their structure. All the software tools and datasets used are
freely available. One section is devoted to explaining setup and
maintenance of Linux as an operating system independent virtual
machine. The author's experiences and knowledge gained from working
and teaching in both academia and industry constitute the
foundation for this practical approach.
With CRISPR/Cas gene editing tools in hand, we are currently
experiencing a new dimension in genetic engineering. But where
should the journey lead? Should we treat diseases or better repair
them genetically? Will the new genetic engineering, combined with
modern reproductive biology, lead to designer babies? And: May we
allow a liberalization of these techniques as citizen science? New
methods can precisely alter the genetic material - and they leave
no traces. This gene and genome surgery thrives on increasing
knowledge about the mode of action of genes, those trait-giving
regions in the genome. This knowledge is being applied in practice,
particularly in the breeding of more resistant and higher-yielding
crops. And what about us? The author shows that gene variants have
long been associated not only with diseases, but also with
nutritional preferences or intelligence. Therapeutic and
optimization options are close at hand. What effect does the
environment have on the expression of genetic material? Genes can
be shaped during a person's lifetime by the environment, nutrition
or experiences and thus passed on to their offspring in a modified
form. So, does society have a new form of long-term responsibility
for (epi)genetic integrity? In this vividly and comprehensibly
written book, the author explains the state of genetic engineering
without assuming too much prior knowledge and invites an open
dialogue on this ambivalent topic. Get your own idea of the
fascinating yet intimidating possibilities of genetic engineering.
Where do you stand on the issue? With the help of this book, you
have the chance to form a differentiated opinion. This book is a
translation of the original German 1st edition Generation
Gen-Schere by Roebbe Wunschiers, published by Springer Fachmedien
Wiesbaden GmbH, part of Springer Nature in 2019. The translation
was done with the help of artificial intelligence (machine
translation by the service DeepL.com). The text was subsequently
revised by the author. Springer Nature works continuously to
further the development of tools for the production of books and on
the related technologies to support the authors.
This greatly expanded 2nd edition provides a practical introduction
to - data processing with Linux tools and the programming languages
AWK and Perl - data management with the relational database system
MySQL, and - data analysis and visualization with the statistical
computing environment R for students and practitioners in the life
sciences. Although written for beginners, experienced researchers
in areas involving bioinformatics and computational biology may
benefit from numerous tips and tricks that help to process, filter
and format large datasets. Learning by doing is the basic concept
of this book. Worked examples illustrate how to employ data
processing and analysis techniques, e.g. for - finding proteins
potentially causing pathogenicity in bacteria, - supporting the
significance of BLAST with homology modeling, or - detecting
candidate proteins that may be redox-regulated, on the basis of
their structure. All the software tools and datasets used are
freely available. One section is devoted to explaining setup and
maintenance of Linux as an operating system independent virtual
machine. The author's experiences and knowledge gained from working
and teaching in both academia and industry constitute the
foundation for this practical approach.
Dieses essential soll als Einfuhrung fur eine zeitgemasse
oeffentliche Diskussion zur Gentechnologie dienen. Die Gentechnik
betrifft uns alle in vielen Bereichen und wir mussen uns trauen,
bunter und weiter zu denken. Tatsachlich kann bereits das komplette
Erbgut von Viren und Bakterien chemisch erzeugt und "zum Leben
erweckt" werden. Mit der Genchirurgie ist die Medizin an einem
Scheidepunkt: Wollen wir Erbkrankheiten therapieren oder genetisch
"reparieren"? Und die Analyse tausender menschlicher Erbgute
foerdert Informationen zutage, die mit komplexen Krankheiten, aber
auch Merkmalen wie Intelligenz in Verbindung stehen. Wie sollen wir
dieses Wissen nutzen? Es stellt sich kaum noch die Frage, ob wir
Gentechnik wollen, sondern vielmehr, wie wir sie anwenden.
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