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Bioinformatics for Evolutionary Biologists - Börsch-Haubold, Angelika

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        Présentation Bioinformatics For Evolutionary Biologists de Börsch - Haubold, Angelika Format Broché

         - Livre Beaux arts

        Livre Beaux arts - Börsch-Haubold, Angelika - 31/05/2019 - Broché - Langue : Anglais

        . .

      • Auteur(s) : Börsch-Haubold, Angelika - Haubold, Bernhard
      • Editeur : Springer International Publishing Ag
      • Langue : Anglais
      • Parution : 31/05/2019
      • Format : Moyen, de 350g à 1kg
      • Nombre de pages : 336
      • Expédition : 511
      • Dimensions : 23.5 x 15.5 x 1.9
      • ISBN : 3319884247



      • Résumé :

        Bernhard Haubold studied Natural Sciences at Cambridge University, UK and completed his DPhil in Bacterial opulation Genetics at Oxford University, UK in 1998. After training as a Post-Doc at the Max-Planck-Institute for Chemical Ecology in Jena, Germany he worked in the biotech industry before taking on a professorship in ?Bioinformatics at the University of Applied Sciences, Weihenstephan, Germany in 2003. In 2008, he moved to his current post as a researcher at the Max-Planck-Institute for Evolutionary Biology in Pl?n, Germany. He also teaches Bioinformatics at L?beck University. Together with Thomas Wiehe he is the author of Introduction to Computational Biology, An Evolutionary Approach, which was published by Birkh?user in 2006.

        Angelika B?rsch-Haubold studied Pharmacy at Freiburg University, Germany and Pharmacology at Cambridge University, UK. She completed her DPhil in Pharmacology at Oxford University, UK in 1997, prior to remaining at Oxford for a junior research fellowship. From 2005 to 2008, she taught various courses at the University of Applied Sciences, Weihenstephan, Germany. From 2008 to 2014 she worked as a researcher at the Max-Planck-Institute for Evolutionary Biology in Pl?n, Germany. She has contributed teaching material to Science in School and was involved in translating the fifth edition of The Molecular Biology of the Cell into German.

        ...

        Biographie:

        Bernhard Haubold studied Natural Sciences at Cambridge University, UK and completed his DPhil in Bacterial opulation Genetics at Oxford University, UK in 1998. After training as a Post-Doc at the Max-Planck-Institute for Chemical Ecology in Jena, Germany he worked in the biotech industry before taking on a professorship in Bioinformatics at the University of Applied Sciences, Weihenstephan, Germany in 2003. In 2008, he moved to his current post as a researcher at the Max-Planck-Institute for Evolutionary Biology in Pl?n, Germany. He also teaches Bioinformatics at L?beck University. Together with Thomas Wiehe he is the author of Introduction to Computational Biology, An Evolutionary Approach, which was published by Birkh?user in 2006.
        Angelika B?rsch-Haubold studied Pharmacy at Freiburg University, Germany and Pharmacology at Cambridge University, UK. She completed her DPhil in Pharmacology at Oxford University, UK in 1997, prior to remaining at Oxford for a junior research fellowship. From 2005 to 2008, she taught various courses at the University of Applied Sciences, Weihenstephan, Germany. From 2008 to 2014 she worked as a researcher at the Max-Planck-Institute for Evolutionary Biology in Pl?n, Germany. She has contributed teaching material to Science in School and was involved in translating the fifth edition of The Molecular Biology of the Cell into German....

        Sommaire:
        Covers fundamental aspects of sequence analysis in evolutionary biology, such as sequence alignment, phylogeny reconstruction, and coalescent simulation Covers the material exclusively through 400 computer problems to enable learning by doing Offers solutions to all problems to encourage self-study at a pace determined by the student Contains over 30 programs written specifically for this book, which are provided as source code for further study Ensures long-term usability of the course material by concentrating on fundamental concepts and utilizing the UNIX command line...

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