소장자료
LDR | 03571cam a2200421 a 4500 | ||
001 | 0093662327▲ | ||
003 | OCoLC▲ | ||
005 | 20180519023008▲ | ||
008 | 160630s2016 nyua b 001 0 eng c▲ | ||
010 | ▼a2016933669▲ | ||
016 | 7 | ▼a101686279▼2DNLM▲ | |
020 | ▼a9781493935765 (alk. paper)▲ | ||
020 | ▼a1493935763 (alk. paper)▲ | ||
020 | ▼z9781493935789 (eBook)▲ | ||
035 | ▼a(OCoLC)932095835▲ | ||
040 | ▼aNLM▼beng▼cNLM▼dYDXCP▼dBTCTA▼dOCLCF▼dSTF▼dGSU▼dOCLCO▼dYDX▲ | ||
042 | ▼apcc▲ | ||
050 | 4 | ▼aQH438.4.S73▼bS726 2016▲ | |
060 | 0 | 0 | ▼aW1▼bME9616J v.1418 2016▲ |
060 | 1 | 0 | ▼aQU 460▲ |
082 | 0 | 4 | ▼a576.5072/7▼223▲ |
090 | ▼a576.50727▼bS797m▲ | ||
245 | 0 | 0 | ▼aStatistical genomics :▼bmethods and protocols /▼cedited by Ewy Mathé, Sean Davis.▲ |
260 | ▼aNew York :▼bHumana Press,▼c2016.▲ | ||
300 | ▼axi, 418 p. :▼bill. ;▼c26 cm.▲ | ||
490 | 1 | ▼aMethods in molecular biology,▼x1064-3745 ;▼v1418▲ | |
490 | 1 | ▼aSpringer protocols▲ | |
504 | ▼aIncludes bibliographical references and index.▲ | ||
505 | 0 | 0 | ▼tOverview of sequence data formats /▼rHongen Zhang --▼tIntegrative exploratory analysis of two or more genomic datasets /▼rChen Meng and Aedin Culhane --▼tStudy design for sequencing studies /▼rLoren A. Honaas, Naomi S. Altman, and Martin Krzywinski --▼tGenomic annotation resources in R/Bioconductor /▼rMarc R.J. Carlson, Hervé Pagès, Sonali Arora, Valerie Obenchain, and Martin Morgan --▼tThe gene expression omnibus database /▼rEmily Clough and Tanya Barrett --▼tA practical guide to The Cancer Genome Atlas (TCGA) /▼rZhining Wang, Mark A. Jensen, and Jean Claude Zenklusen --▼tWorking with oligonucleotide arrays /▼rBenilton S. Carvalho --▼tMeta-analysis in gene expression studies /▼rLevi Waldron and Markus Riester --▼tPractical analysis of genome contact interaction experiments /▼rMark A Carty and Olivier Elemento --▼tQuantitative comparison of large-scale DNA enrichment sequencing data /▼rMatthias Lienhard and Lukas Chavez --▼tVariant calling from next generation sequence data /▼rNancy F. Hansen --▼tGenome-scale analysis of cell-specific regulatory codes using nuclear enzymes /▼rSongjoon Baek and Myong-Hee Sung --▼tNGS-QC generator : a quality control system for ChIP-seq and related deep sequencing-generated datasets /▼rMarco Antonio Mendoza-Parra, Mohamed-Ashick M. Saleem, Matthias Blum, Pierre-Etienne Cholley, and Hinrich Gronemeyer --▼tOperating on genomic ranges using BEDOPS /▼rShane Neph, Alex P. Reynolds, M. Scott Kuehn, and John A. Stamatoyannopoulos --▼tGMAP and GSNAP for genomic sequence alignment : enhancements to speed, accuracy, and functionality /▼rThomas D. Wu, Jens Reeder, Michael Lawrence, Gabe Becker, and Matthew J. Brauer --▼tVisualizing genomic data using Gviz and Bioconductor /▼rFlorian Hahne and Robert Ivanek --▼tIntroducing machine learning concepts with WEKA /▼rTony C. Smith and Eibe Frank --▼tExperimental design and power calculation for RNA-seq experiments /▼rZhijin Wu and Hao Wu --▼tIt's DE-licious : a recipe for differential expression analyses of RNA-seq experiments using quasi-likelihood methods in edgeR /▼rAaron T.L. Lun, Yunshun Chen, and Gordon K. Smyth.▲ |
650 | 1 | 2 | ▼aGenomics▼xstatistics & numerical data▲ |
650 | 1 | 2 | ▼aData Interpretation, Statistical▲ |
650 | 2 | 2 | ▼aDatabases, Genetic▼xstatistics & numerical data▲ |
650 | 0 | ▼aGenomics▼xStatistical methods▼vLaboratory manuals.▲ | |
700 | 1 | ▼aMathe, Ewy A.▲ | |
700 | 1 | ▼aDavis, Sean.▲ | |
830 | 0 | ▼aMethods in molecular biology (Clifton, N.J.) ;▼vv. 1418.▼x1064-3745▲ | |
830 | 0 | ▼aSpringer protocols (Series)▼x1949-2448▲ | |
999 | ▼c김정이▲ |
Statistical genomics :methods and protocols
자료유형
국외단행본
서명/책임사항
Statistical genomics : methods and protocols / edited by Ewy Mathé, Sean Davis.
발행사항
New York : Humana Press , 2016.
형태사항
xi, 418 p. : ill. ; 26 cm.
총서사항
Methods in molecular biology , 1064-3745 ; 1418
Springer protocols
Methods in molecular biology (Clifton, N.J.) ; v. 1418. 1064-3745
Springer protocols (Series) 1949-2448
Springer protocols
Methods in molecular biology (Clifton, N.J.) ; v. 1418. 1064-3745
Springer protocols (Series) 1949-2448
서지주기
Includes bibliographical references and index.
내용주기
Overview of sequence data formats / Hongen Zhang -- Integrative exploratory analysis of two or more genomic datasets / Chen Meng and Aedin Culhane -- Study design for sequencing studies / Loren A. Honaas, Naomi S. Altman, and Martin Krzywinski -- Genomic annotation resources in R/Bioconductor / Marc R.J. Carlson, Hervé Pagès, Sonali Arora, Valerie Obenchain, and Martin Morgan -- The gene expression omnibus database / Emily Clough and Tanya Barrett -- A practical guide to The Cancer Genome Atlas (TCGA) / Zhining Wang, Mark A. Jensen, and Jean Claude Zenklusen -- Working with oligonucleotide arrays / Benilton S. Carvalho -- Meta-analysis in gene expression studies / Levi Waldron and Markus Riester -- Practical analysis of genome contact interaction experiments / Mark A Carty and Olivier Elemento -- Quantitative comparison of large-scale DNA enrichment sequencing data / Matthias Lienhard and Lukas Chavez -- Variant calling from next generation sequence data / Nancy F. Hansen -- Genome-scale analysis of cell-specific regulatory codes using nuclear enzymes / Songjoon Baek and Myong-Hee Sung -- NGS-QC generator : a quality control system for ChIP-seq and related deep sequencing-generated datasets / Marco Antonio Mendoza-Parra, Mohamed-Ashick M. Saleem, Matthias Blum, Pierre-Etienne Cholley, and Hinrich Gronemeyer -- Operating on genomic ranges using BEDOPS / Shane Neph, Alex P. Reynolds, M. Scott Kuehn, and John A. Stamatoyannopoulos -- GMAP and GSNAP for genomic sequence alignment : enhancements to speed, accuracy, and functionality / Thomas D. Wu, Jens Reeder, Michael Lawrence, Gabe Becker, and Matthew J. Brauer -- Visualizing genomic data using Gviz and Bioconductor / Florian Hahne and Robert Ivanek -- Introducing machine learning concepts with WEKA / Tony C. Smith and Eibe Frank -- Experimental design and power calculation for RNA-seq experiments / Zhijin Wu and Hao Wu -- It's DE-licious : a recipe for differential expression analyses of RNA-seq experiments using quasi-likelihood methods in edgeR / Aaron T.L. Lun, Yunshun Chen, and Gordon K. Smyth.
주제
ISBN
9781493935765 (alk. paper) 1493935763 (alk. paper)
청구기호
576.50727 S797m
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