read.seqBase_.name_ +"_score:"+std::to_string(alignObj.parts_.score_), alignObj.alignObjectB_.seqBase_.seq_, alignObj.alignObjectB_.seqBase_.qual_))); }returnoutput; } 开发者ID:bailey-lab,项目名称:bibseq,代码行数:14,代码来源:seqToolsUtils.hpp 示例13: seqInfo ▲点赞 1▼ voidE...
ByteSwapper::swapFourBytes(value_ptr);elseByteSwapper::swapFourByteArray(value_ptr, kvsObject.numberElements);break;caseDDSKVStore::TYPE_INT64:caseDDSKVStore::TYPE_DOUBLE:if(kvsObject.numberElements ==1) ByteSwapper::swapEightBytes(value_ptr);elseByteSwapper::swapEightByteArray(value_ptr, kvsObjec...
ORA-20001: APP-FND-01564: ORACLE error - 1422 in get_seq_info Cause: get_seq_info failed due to ORA-01422: exact fetch returns more than the requested number of rows. The SQL statement being executed at the time of the error was: SEQ.DOC_SEQUENCE_ID, SEQ.TYPE, SEQ.NAME...and was...
(3) Add "slot" parameter in "DimPlot" function, external dimension reduction results can be added in RISC object, e.g. add phate results (phate0) to RISC object obj0@DimReduction$cell.phate = phate0; DimPlot(obj0, slot = "cell.phate", colFactor = 'Group', size = 2, label = TRU...
PhyloTree = seqneighjoin(Distances) computes PhyloTree, a phylogenetic tree object, from Distances, pairwise distances between the species or products, using the neighbor-joining method. PhyloTree = seqneighjoin(Distances, Method) specifies Method, a method to compute the distances of the new nodes...
3#adt_assay <- CreateAssayObject(counts = adt) 4 #counts[["ADT"]] <- adt_assay 这里我们可以很清楚的看到,我们这里有两个文件,分别是表达数据以及ADT数据,也就是说这两个数据结合起来其实就是我们的CITE-seq技术 1#但是尽管读取是一起读取并创建了counts对象,但是我们后续创建Seurat对象的时候是需要分别...
EngineEngine object in which the sequence invocation executes. RootSequence context for the root sequence invocation. When you initiate an execution using a process model entry point, the property is the sequence context for the entry point. For example, when you use an entry point from the defa...
这里构建了一个对象 An object of class “EList” v<-voom(exprSet,design,normalize="quantile")## 下面的代码如果你不感兴趣不需要运行,免得误导你## 就是看看normalization前面的数据分布差异#png("RAWvsNORM.png")exprSet_new=v$Epar(cex=0.7)n.sample=ncol(exprSet)if(n.sample>40)par(cex=0.5)cols...
void CSeq_annot_Info::x_DSUnmapObject(CConstRef<TObject> obj, CDataSource& ds) { ds.x_Unmap(obj, this); } void CSeq_annot_Info::x_TSEAttachContents(CTSE_Info& tse) { TParent::x_TSEAttachContents(tse); if ( m_SNP_Info ) { ...
3 TheDESeqDataSetobject, sample information and the design formula 3.1 Starting fromSummarizedExperiment 3.2 Starting from count matrices 4 Exploratory analysis and visualization 4.1 Pre-filtering the dataset 4.2 The variance stabilizing transformation and the rlog ...