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146584285
Python para Bioinformatica: Fundamentos de Programacao para Bioinformatica e Biologia Computacional (Portuguese Edition)
Item #:
146584285
MMK 102813
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- A bioinformática é uma área multidisciplinar que utiliza técnicas da ciência da computação para análise de dados biológicos. Nos últimos anos, a bioinformática tem revolucionado diversas áreas de pesquisa, acelerando descobertas no entendimento de genomas, proteínas e interações moleculares. Dominar a programação é fundamental na bioinformática, uma vez que a análise de dados biológicos envolve lidar com volumes massivos e complexos, muitas vezes impossíveis de serem tratados manualmente. Além disso, a bioinformática exige soluções criativas para problemas únicos, e somente com o conhecimento em programação você estará apto para enfrentar esses desafios. Python, uma linguagem poderosa e de fácil aprendizagem, se destaca como uma das melhores escolhas para a bioinformática. Neste livro, você aprenderá desde os conceitos básicos de programação em Python até a aplicação de bibliotecas para análises de dados biológicos. Além disso, serão abordados exemplos práticos e estudos de caso, preparando você para resolver problemas reais da área. Neste livro, você encontrará ainda: • 300 exercícios de fixação com respostas • 62 exercícios práticos • 17 exercícios resolvidos • 11 videoaulas complementares Prepare-se para dominar o mundo da programação para bioinformática com Python! Vamos nessa?
| Publisher | Novatec Editora |
| Publication date | February 12, 2025 |
| Edition | 1st |
| Language | Portuguese |
| File size | 67.8 MB |
| Enhanced typesetting | Enabled |
| Word Wise | Not Enabled |
| Print length | 559 pages |
| ISBN-13 | 978-8575229408 |
| Page Flip | Enabled |
| Item Weight | 0.5 lbs (230 grams) |
Product Description
Python para Bioinformatica: Fundamentos de Programacao para Bioinformatica e Biologia Computacional (Portuguese Edition)
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MMK 102813
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Features & Benefits
- Master the essential programming skills needed for bioinformatics.
- Harness the power of Python for biological data analysis.
- Engage with 300 exercises to solidify your understanding.
- Learn through practical examples and case studies.
- Access 11 complementary video lessons for enhanced learning.
- Gain the tools to tackle real-world bioinformatics challenges.
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