000 03220cam a2200433 i 4500
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
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
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
999 _c9097
_d9097