Your passport to a career in bioinformatics By Prashanth Suravajhala

By:

Suravajhala, Prashanth N

Material type: Text

TextPublication details: Singapore, Springer, c2021.Edition: 2Description: i-xv+115PSubject(s):

Bioinformatics -- Vocational guidance. Computational Biology

DDC classification:

2 570.285 SUR-Y

Contents:

Whither Bioinformatics? -- Ten Reasons One Should take Bioinformatics as Career -- Developing Bioinformatics Skills -- The Esoteric of Bioinformatics -- Common Minimum Standards: A Syllabus for Bioinformatics Practitioners -- Colloquial Group Discussion on Bioinformatics: Grand Challenges -- The Bioinforma 'TICKS': Frequently Asked Questions -- Undergraduate education in bioinformatics: progress and lessons learnt from an engineering degree -- Engineering Minds for Biologists -- Design Bioinformatics Curriculums Guidelines: perspectives -- Machine learning for Bioinformatics.

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Holdings
Item type	Current library	Home library	Call number	Status	Date due	Barcode
Book	Dept. of Computational Biology and Bioinformatics	Dept. of Computational Biology and Bioinformatics	570.285 SUR-Y (Browse shelf(Opens below))	Available		DCB4134

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Previous	570.285 SIN-F Fundamentals of Bioinformatics and computational Biology: Methods and Exercises in MATLAB	570.285 SOF-B Bioinformatics for everyone	570.285 STE-P Python Programming for Biology : Bioinformatics and Beyond	570.285 SUR-Y Your passport to a career in bioinformatics	570.285 SYE-B Bioinformatics - A Student's Companion	570.285 SYS Systems Biology: Principles, Methods, and Concepts	570.285 SYS Systems Biology	Next

Whither Bioinformatics? --
Ten Reasons One Should take Bioinformatics as Career --
Developing Bioinformatics Skills --
The Esoteric of Bioinformatics --
Common Minimum Standards: A Syllabus for Bioinformatics Practitioners --
Colloquial Group Discussion on Bioinformatics: Grand Challenges --
The Bioinforma 'TICKS': Frequently Asked Questions --
Undergraduate education in bioinformatics: progress and lessons learnt from an engineering degree --
Engineering Minds for Biologists --
Design Bioinformatics Curriculums Guidelines: perspectives --
Machine learning for Bioinformatics.

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