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[Brand: Morgan Kaufmann] ☆ Bioinformatics: Managing Scientific Data (The Morgan Kaufmann Series in Multimedia Information and Systems) ↠ Download Online eBook or Kindle ePUB. Bioinformatics: Managing Scientific Data (The Morgan Kaufmann Series in Multimedia Information and Systems) Great contributions, lots of details, in-depth knowledge A Customer The book compiles chapters written by different authors all of whom are experts in the area of managing life science and/or scientific data. The variety of approaches, the clear description, and the details make this book an important source for those who want to know more about the "state-of-the-art" data management in the area of bioinformatics. By presenting such a great mixtures the rea]
| Title | : | Bioinformatics: Managing Scientific Data (The Morgan Kaufmann Series in Multimedia Information and Systems) |
| Author | : | |
| Rating | : | 4.68 (774 Votes) |
| Asin | : | 155860829X |
| Format Type | : | paperback |
| Number of Pages | : | 441 Pages |
| Publish Date | : | 2017-09-06 |
| Language | : | English |
She has interacted with the Center of Bioinformatics at the University of Pennsylvania, and worked for two biotech companies: Gene Logic Inc. in Computer Science in 1996 from the University of Paris XI (France). His involvement in bioinformatics began over seven years ago as part of a collaboration between the University of
An exciting compilation that addresses the key issues in biological data management. -Sylvia Spengler, Lawrence Berkeley National Laboratory
Unfortunately, scientists are not currently able to easily identify and access this information because of the variety of semantics, interfaces, and data formats used by the underlying data sources. In the current age of the life sciences, investigators have to interpret many types of information from a variety of sources: lab instruments, public databases, gene expression profiles, raw sequence traces, single nucleotide polymorphisms, chemical screening data, proteomic data, putative metabolic pathway models, and many others. In closing, the editors provide important criteria for evaluating these systems that bioinformatics professionals will find valuable. Each system receives its own chapter where the lead contributors provide precious insight into the specific problems being addressed by the system, why the particular architecture was chosen, and details on the
Great contributions, lots of details, in-depth knowledge A Customer The book compiles chapters written by different authors all of whom are experts in the area of managing life science and/or scientific data. The variety of approaches, the clear description, and the details make this book an important source for those who want to know more about the "state-of-the-art" data management in the area of bioinformatics. By presenting such a great mixtures the rea
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