Biostrings
  |
这个包是2.12版本Bioconductor;的稳定,最新的发布版本,请参阅Biostrings。
字符串对象代表生物序列,和匹配算法
Bioconductor版本:2.12
记忆有效字符串容器,字符串匹配算法,和其他实用程序,用于快速操作的大型生物序列或集序列。
作者:h .页面、p . Aboyoun r .绅士,和美国DebRoy
维修工:h .页< hpages fhcrc.org >
从内部引用(R,回车引用(“Biostrings”)):
安装
安装这个包,开始R和输入:
# #试试http://如果https:// url不支持源(“//www.anjoumacpherson.com/biocLite.R”) biocLite (“Biostrings”)
文档
查看文档的版本这个包安装在您的系统,开始R和输入:
browseVignettes (“Biostrings”)
细节
| biocViews |
DataImport,DataRepresentation,遗传学,基础设施,SequenceMatching,测序,软件 |
| 版本 |
2.28.0 |
| Bioconductor自 |
BioC 1.6 (r - 2.1)或更早(> 11年) |
| 许可证 |
艺术- 2.0 |
| 取决于 |
R(> = 2.8.0)、方法BiocGenerics(> = 0.5.4),IRanges(> = 1.17.41) |
| 进口 |
图形、方法、统计跑龙套,BiocGenerics,IRanges |
| 链接 |
IRanges |
| 建议 |
BSgenome(> = 1.13.14),BSgenome.Celegans.UCSC.ce2(> = 1.3.11),BSgenome.Dmelanogaster.UCSC.dm3(> = 1.3.11),BSgenome.Hsapiens.UCSC.hg18,drosophila2probe,hgu95av2probe,hgu133aprobe,GenomicFeatures(> = 1.3.14),hgu95av2cdf,affy,affydata(> = 1.11.5),RUnit |
| SystemRequirements |
|
| 增强了 |
Rmpi |
| URL |
|
| 取决于我 |
altcdfenvs,大脑,BSgenome,ChIPpeakAnno,ChIPsim,CorMut,DASiR,解读,deepSNV,easyRNASeq,FDb.FANTOM4.promoters.hg19,FDb.InfiniumMethylation.hg18,FDb.InfiniumMethylation.hg19,GeneRegionScan,基因组,harbChIP,IlluminaHumanMethylation450kprobe,iPAC,methVisual,minfi,MotifDb,oneChannelGUI,PWMEnrich,qrqc,R453Plus1Toolbox,REDseq,rGADEM,Rsamtools,rSFFreader,RSVSim,SCAN.UPC,seqbias,ShortRead,三层,waveTiling |
| 进口我 |
AffyCompatible,ArrayExpressHTS,BCRANK,BioSeqClass,biovizBase,魅力,ChIPpeakAnno,ChIPseqR,ChIPsim,解读,ensemblVEP,gcrma,GeneRegionScan,GenomicFeatures,girafe,gmapR,Gviz,gwascat,HiTC,HTSeqGenie,KEGGREST,MEDIPS,MEDME,methVisual,微,motifRG,MotIV,益生元,oligoClasses,OTUbase,pd.081229.hg18.promoter.medip.hx1,pd.2006.07.18.hg18.refseq.promoter,pd.2006.07.18.mm8.refseq.promoter,pd.2006.10.31.rn34.refseq.promoter,pd.ag,pd.aragene.1.0.st,pd.aragene.1.1.st,pd.atdschip.tiling,pd.ath1.121501,pd.barley1,pd.bovgene.1.0.st,pd.bovgene.1.1.st,pd.bovine,pd.bsubtilis,pd.cangene.1.0.st,pd.cangene.1.1.st,pd.canine,pd.canine.2,pd.celegans,pd.charm.hg18.example,pd.chicken,pd.citrus,pd.cotton,pd.cyngene.1.0.st,pd.cyngene.1.1.st,pd.cyrgene.1.0.st,pd.cyrgene.1.1.st,pd.cytogenetics.array,pd.drosgenome1,pd.drosophila.2,pd.e.coli.2,pd.ecoli,pd.ecoli.asv2,pd.equgene.1.0.st,pd.equgene.1.1.st,pd.feinberg.hg18.me.hx1,pd.feinberg.mm8.me.hx1,pd.felgene.1.0.st,pd.felgene.1.1.st,pd.genomewidesnp.5,pd.genomewidesnp.6,pd.hc.g110,pd.hg.focus,pd.hg.u133.plus.2,pd.hg.u133a,pd.hg.u133a.2,pd.hg.u133a.tag,pd.hg.u133b,pd.hg.u219,pd.hg.u95a,pd.hg.u95av2,pd.hg.u95b,pd.hg.u95c,pd.hg.u95d,pd.hg.u95e,pd.hg18.60mer.expr,pd.ht.hg.u133.plus.pm,pd.ht.hg.u133a,pd.ht.mg.430a,pd.hu6800,pd.huex.1.0.st.v2,pd.hugene.1.0.st.v1,pd.hugene.1.1.st.v1,pd.hugene.2.0.st,pd.hugene.2.1.st,pd.maize,pd.mapping250k.nsp,pd.mapping250k.sty,pd.mapping50k.hind240,pd.mapping50k.xba240,pd.medicago,pd.mg.u74a,pd.mg.u74av2,pd.mg.u74b,pd.mg.u74bv2,pd.mg.u74c,pd.mg.u74cv2,pd.mirna.1.0,pd.mirna.2.0,pd.mirna.3.0,pd.mirna.3.1,pd.moe430a,pd.moe430b,pd.moex.1.0.st.v1,pd.mogene.1.0.st.v1,pd.mogene.1 |
