000 | nam a22 7a 4500 | ||
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999 |
_c49502 _d49502 |
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005 | 20240516132219.0 | ||
008 | 240515s2021 us ad||fr|||| 00| 0 eng d | ||
020 | _a9781498781855 | ||
040 |
_aCO-NeUS _bspa _erda |
||
041 | _aeng | ||
100 | 1 |
_9158162 _aAkalin, Altuna _eaut |
|
245 | 1 |
_aComputational genomics with R / _cAltuna Akalin |
|
250 | _aFirst edition | ||
264 | 1 |
_aNew York : _bTaylor &Francis Group, _c2021 |
|
300 | 1 |
_a440 páginas : _billustrations with color ; _c22 cm |
|
336 |
_2rdacontent _atxt |
||
337 |
_2rdamedia _an _bn |
||
338 |
_2rdacarrier _anc _bnc |
||
347 | _2rda | ||
490 | 1 |
_9158163 _aComputational Biology series |
|
504 | _aInclude bibliographical and index | ||
505 | _aIntroduction to genomics -- Introdution to R for genomic data analysis -- Statistics for Genomics -- Exploraory Data Analysis with Unsupervised Learning -- Predictive Modeling with supervised Machine Learning -- Operatios on Genomic Intervals and Genome Arithmetic -- Quality Check, Processing and Alignment of High-Throughput sequencing reads -- RNA-seq Analysis -- ChIP-seq analysis -- DNA methylation analysis using bisulfite sequencing data -- Multi-omics analysis | ||
520 | _aComputational Genomics with R provides a starting point for beginners in genomic data analysis and also guide more advanced practitioners to sophisticated data analysis techniques in genomics. | ||
830 |
_9158163 _aComputational Biology series |
||
082 | 0 | 4 |
_221 _a572.8 / _bA313c |
650 | 1 | 4 |
_2LEMB _9103998 _aComputational Biology. |
650 | 1 | 4 |
_2LEMB _9101853 _aBiología computacional |
650 | 1 | 4 |
_2LEMB _9101844 _aBioinformatics |
650 | 1 | 4 |
_2LEMB _96840 _aBioinformática |
650 | 1 | 4 |
_2LEMB _9158164 _aGenetics |
650 | 1 | 4 |
_2LEMB _91222 _aGenética |
650 | 1 | 4 |
_2LEMB _9158165 _aGenomes |
650 | 1 | 4 |
_2LEMB _925061 _aGenomas |
650 | 1 | 4 |
_2LEMB _9158166 _aGenomics |
650 | 1 | 4 |
_2LEMB _925039 _aGenómica |
942 |
_2ddc _cCG _h572.8 / _kA313c |