000 | 03220cam a2200433 i 4500 | ||
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001 | 355228 | ||
003 | 0000000000 | ||
005 | 20201105104213.0 | ||
008 | 171208s2018 cc m b a001 0 eng c | ||
010 | _a2017058720 | ||
020 |
_a9781848169241 _q(hardcover _qalkaline paper) |
||
035 |
_a(OCoLC)1019838144 _z(OCoLC)1019842416 |
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035 | _a(OCoLC)1019838144 | ||
040 | _cAEA-IRC | ||
042 | _apcc | ||
050 | 0 | 0 |
_aQH 324.2 _b.W184 2018 |
100 | 1 |
_aWang, Ziling, _cMD, _eauthor. _933157 |
|
245 | 1 | 0 |
_aEssential computing skills for biologists / _cZiling Wang, Lishu Zhang. |
260 |
_aBeijing, China : _bHigher Education Press Limited Company ; |
||
260 |
_aLondon ; _aHackensack, NJ : _bWorld Scientific Publishing Europe Ltd., _c[2018] |
||
264 | 1 |
_aBeijing, China : _bHigher Education Press Limited Company ; _aLondon ; _aHackensack, NJ : _bWorld Scientific Publishing Europe Ltd., _c[2018] |
|
300 |
_aix, 293 pages : _billustrations ; _c24 cm. |
||
336 |
_atext _btxt _2rdacontent. |
||
337 |
_aunmediated _bn _2rdamedia. |
||
338 |
_avolume _bnc _2rdacarrier. |
||
490 | 1 |
_aSeries on advances in bioinformatics and computational biology ; _vvolume 11 |
|
504 | _aIncludes bibliographical references and index. | ||
505 | 0 | _aPart I. Databases and bioinformatics tools. Online sequence databases -- Sequence alignment -- Molecular phylogeny and evolution -- Predicting DNA and protein function from sequence -- Protein structure -- Part II. Bioinformatics for omics data. Human genetic variation and human disease -- Gene expression profiling with microarray : online resources and data management -- Bioinformatics for qualitative and quantitative proteomics -- Bioinformatics for metabolomics -- Gene ontology database and KEGG database -- Part III. Statistics and programming. Basic algorithms for bioinformatics -- An introduction to R. | |
520 |
_aThis is a handbook of methods and protocols for biologists. It aimed at undergraduate, graduate students and researchers originally trained in biological or medical sciences who need to know how to access the data archives of genomes, proteins, metabolites, gene expression profiles and the questions these data and tools can answer. For each chapter, the conceptual and experimental background is provided, together with specific guidelines for handling raw data, including preprocessing and analysis.
The content is structured into three parts. Part one introduces basic knowledge about popular bioinformatics tools, databases and web resources. Part two presents examples of omics bioinformatics applications. Part three provides basic statistical analysis skills and programming skills needed to handle and analyze omics datasets.-- _bProvided by the Publisher |
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650 | 0 |
_aBioinformatics. _928498 |
|
650 | 0 |
_aComputational biology. _928499 |
|
650 | 0 |
_aBiology _xData processing. _933977 |
|
700 | 1 |
_aZhang, Lishu, _eauthor. _933159 |
|
830 | 0 |
_aSeries on advances in bioinformatics and computational biology ; _vv. 11. _933160 |
|
942 |
_2lcc _cBK |
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999 |
_c9097 _d9097 |