Titre :	Computational thinking for life scientists
Type de document :	texte imprimé
Auteurs :	Benny Chor (195.-2021), Editeur scientifique ; Amir Rubinstein (1977-....), Editeur scientifique
Editeur :	Cambridge University Press
Année de publication :	2022
Importance :	1 vol. (209 p.)
Présentation :	ill. en coul.
Format :	26 cm
ISBN/ISSN/EAN :	978-1-107-19724-4
Langues :	Anglais
Catégories :	Bio-informatique - Biostatistiques - Biomathématique - Mathématique - Informatique
Mots-clés :	Bio-informatique  Informatique
Index. décimale :	570.285 Informatique appliquée à la biologie et aux sciences de la vie - bio-informatique -
Résumé :	Computational Thinking is increasingly gaining importance in modern biology, due to the unprecedented scale at which data is nowadays produced. Bridging the cultural gap between the biological and computational sciences, this book serves as an accessible introduction to computational concepts for students in the life sciences. It focuses on teaching algorithmic and logical thinking, rather than just the use of existing bioinformatics tools or programming. Topics are presented from a biological point of view, to demonstrate how computational approaches can be used to solve problems in biology such as biological image processing, regulatory networks, and sequence analysis. The book contains a range of pedagogical features to aid understanding, including real-world examples, in-text exercises, end-of-chapter problems, colour-coded Python code, and 'code explained' boxes. User-friendly throughout, Computational Thinking for Life Scientists promotes the thinking skills and self-efficacy required for any modern biologist to adopt computational approaches in their research with confidence
Note de contenu :	Sommaire: -1- Programming in Python -2- Sequences -3- Graphs and Networks -4- Images -5- Limitations of Computing

Computational thinking for life scientists [texte imprimé] / Benny Chor (195.-2021), Editeur scientifique ; Amir Rubinstein (1977-....), Editeur scientifique . - [S.l.] : Cambridge University Press, 2022 . - 1 vol. (209 p.) : ill. en coul. ; 26 cm.
ISBN : 978-1-107-19724-4
Langues : Anglais

Catégories :	Bio-informatique - Biostatistiques - Biomathématique - Mathématique - Informatique
Mots-clés :	Bio-informatique  Informatique
Index. décimale :	570.285 Informatique appliquée à la biologie et aux sciences de la vie - bio-informatique -
Résumé :	Computational Thinking is increasingly gaining importance in modern biology, due to the unprecedented scale at which data is nowadays produced. Bridging the cultural gap between the biological and computational sciences, this book serves as an accessible introduction to computational concepts for students in the life sciences. It focuses on teaching algorithmic and logical thinking, rather than just the use of existing bioinformatics tools or programming. Topics are presented from a biological point of view, to demonstrate how computational approaches can be used to solve problems in biology such as biological image processing, regulatory networks, and sequence analysis. The book contains a range of pedagogical features to aid understanding, including real-world examples, in-text exercises, end-of-chapter problems, colour-coded Python code, and 'code explained' boxes. User-friendly throughout, Computational Thinking for Life Scientists promotes the thinking skills and self-efficacy required for any modern biologist to adopt computational approaches in their research with confidence
Note de contenu :	Sommaire: -1- Programming in Python -2- Sequences -3- Graphs and Networks -4- Images -5- Limitations of Computing