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Russell Books, Victoria, BC, Canada
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Special order direct from the distributor. N° de ref. del artículo ING9781449367374
Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings. With this practical guide, youâ ll learn how to use freely available open source tools to extract meaning from large complex biological data sets.
At no other point in human history has our ability to understand lifeâ s complexities been so dependent on our skills to work with and analyze data. This intermediate-level book teaches the general computational and data skills you need to analyze biological data. If you have experience with a scripting language like Python, youâ re ready to get started.
Acerca del autor: Vince Buffalo is a bioinformatician at the UC Davis Department of Plant Sciences, in Jorge Dubcovsky's wheat genomics lab. Before this, he was the primary statistical programmer at the UC Davis Genome Center's Bioinformatics Core where he analyzed many diverse genomics datasets. An obsessive programmer since he was a young teenager, Vince was drawn to the statistical and computational problems of genomics. He works on open source bioinformatics tools in his work and free time, and enjoys fly fishing and cooking when away from the computer.
Título: Bioinformatics Data Skills: Reproducible and...
Editorial: OREILLY MEDIA
Año de publicación: 2015
Encuadernación: Softcover
Condición: New
Librería: WorldofBooks, Goring-By-Sea, WS, Reino Unido
Paperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Nº de ref. del artículo: GOR007337806
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Librería: HPB-Red, Dallas, TX, Estados Unidos de America
Paperback. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Nº de ref. del artículo: S_420433271
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Librería: Seattle Goodwill, Seattle, WA, Estados Unidos de America
Condición: Good. May have some shelf-wear due to normal use. Your purchase funds free job training and education in the greater Seattle area. Thank you for supporting Goodwills nonprofit mission! Nº de ref. del artículo: 0KVOGF00AKVJ_ns
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Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
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Librería: SecondSale, Montgomery, IL, Estados Unidos de America
Condición: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. Nº de ref. del artículo: 00084580107
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Librería: Lady BookHouse, Belmont, MA, Estados Unidos de America
paperback. Condición: Very Good. This book is in very good condition, with only minor signs of wear and use. The pages may contain limited notes or highlighting, but overall, the text remains clean and legible. The cover and spine are also in great shape, with only minimal shelf wear or creasing. This book has been well-maintained and still presents a clean and attractive appearance. Textbooks may not include supplemental items i.e. CDs, access codes etc. Nº de ref. del artículo: CS02690
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Librería: medimops, Berlin, Alemania
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Librería: CitiRetail, Stevenage, Reino Unido
Paperback. Condición: new. Paperback. This practical book teaches the skills that scientists need for turning large sequencing datasets into reproducible and robust biological findings. Many biologists begin their bioinformatics training by learning languages like Perl and R alongside the Unix command line. But there's a huge gap between knowing a few programming languages and being prepared to analyze large amounts of biological data. Rather than teach bioinformatics as a set of workflows that are likely to change with this rapidly evolving field, this book demsonstrates the practice of bioinformatics through data skills. Rigorous assessment of data quality and of the effectiveness of tools is the foundation of reproducible and robust bioinformatics analysis. Through open source and freely available tools, you'll learn not only how to do bioinformatics, but how to approach problems as a bioinformatician. Go from handling small problems with messy scripts to tackling large problems with clever methods and tools Focus on high-throughput (or "next generation") sequencing data Learn data analysis with modern methods, versus covering older theoretical concepts Understand how to choose and implement the best tool for the job Delve into methods that lead to easier, more reproducible, and robust bioinformatics analysis Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings. With this practical guide, you'll learn how to use freely available open source tools to extract meaning from large complex biological data sets. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9781449367374
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Condición: New. Nº de ref. del artículo: 20879992-n
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Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: WO-9781449367374
Cantidad disponible: 15 disponibles