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Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools
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Go from handling small problems with messy scripts to tackling large problems with clever methods and tools
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What Stands Out
Detalji o proizvodu
- Teaches the skills needed to turn large sequencing datasets into reproducible and robust biological findings
- Emphasizes the practice of bioinformatics through data skills rather than teaching it as a set of workflows
- Focuses on rigorous assessment of data quality and tool effectiveness for reproducible and robust bioinformatics analysis
- Covers high-throughput sequencing data analysis using modern methods
- Provides guidance on choosing and implementing the best tools for bioinformatics tasks
- Offers methods for achieving easier, more reproducible, and robust bioinformatics analysis
| Publisher | O'Reilly Media |
| Publication date | August 18, 2015 |
| Edition | 1st |
| Language | English |
| Print length | 536 pages |
| ISBN-10 | 1449367372 |
| ISBN-13 | 978-1449367374 |
| Item Weight | 2.05 pounds (930 grams) |
| Dimensions | 7 x 1.25 x 9 inches (17.8 x 3.2 x 22.9 cm) |
Who Should Buy?
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Aspiring Bioinformaticians
Ideal for newcomers seeking practical skills in bioinformatics and data handling with open-source tools.
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Researchers in Biology
Perfect for biologists who want to enhance their research reproducibility and data analysis skills using bioinformatics.
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Educators and Instructors
Useful for teaching bioinformatics concepts and methodologies, providing structured guidance for curriculum development.
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Complete Beginners
Not suitable for individuals with no prior programming or data analysis knowledge, as it assumes some familiarity.
OPIS PROIZVODA
Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools
Pitanja i odgovori kupaca
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pitanje:
Kako kupovati Bioinformatics Data Skills: Reproducible and Robust online od Ubuya?
odgovor: Jednostavno je kupovati Bioinformatics Data Skills: Reproducible and Robust online s Ubuya.. Samo trebate potražiti proizvod, odabrati način dostave tijekom odjave i dobiti ga na svoju lokaciju. -
pitanje:
Je li Bioinformatics Data Skills: Reproducible and Robust dostupan za online kupnju u Croatia?
odgovor: Da, na Ubuyu Croatia ovaj proizvod vam je dostupan za kupnju po razumnoj cijeni.. Bioinformatics Data Skills: Reproducible and Robust nije dostupan lokalno, ali možete nam povjeriti naše usluge ekspresne dostave. -
pitanje:
Koliko dugo je potrebno da dobijete proizvod nakon narudžbe?
odgovor: Vrijeme isporuke vašeg naručenog proizvoda ovisi o tome što ste naručili i načinu dostave koji ste odabrali.. Predviđeno vrijeme dostave navedeno je tijekom procesa naplate, stoga budite bezbrižni prilikom kupovine.
Software Development Editorial Review
Bioinformatics Data Skills is highly recommended for scientists with a background in biology looking to get into data analysis. It is a well-written and easy-to-follow book that introduces all the skills needed to work on state-of-the-art NGS data. The author's experience in interacting with beginners is evident in his step-by-step approach. The book covers a wide range of topics, with a good balance of depth. The chapters on Unix tools and remote machines are directly applicable to real-world work. The book emphasizes reproducible research and provides practical knowledge and good data analysis practices. It may be a bit dense for beginners but serves as a valuable reference.
Customer Reviews & Ratings
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5 zvjezdica
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Pros
- Readable and concise
- Step-by-step approach
- Covers a wide range of topics
- Applicable to real-world work
- Emphasizes reproducible research
Protiv
- Middle third of the book might not be relevant for some readers
Product Price History
Važne informacije
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Značajke i prednosti
- Learn practical skills for turning large sequencing datasets into reproducible and robust biological findings
- Focus on high-throughput sequencing data
- Learn data analysis with modern methods
- 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
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