Stem cell transcriptome profiling via massive-scale mRNA sequencing

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Items 601–700 of 922

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17. Using RNA-seq Data to Detect Differentially Expressed Genes
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44. Using normalization to resolve RNA-Seq biases caused by amplification from minimal input
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45. Computational developments in microRNA-regulated protein-protein interactions
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46. Statistical Methods for Overdispersion in mRNA-Seq Count Data
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57. Simultaneous profiling of Arabidopsis thaliana and Vibrio vulnificus MO6-24/O transcriptomes by dual RNA-seq analysis
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58. GAAP: A Genome Assembly + Annotation Pipeline
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59. Groucho related gene 5 (GRG5) is involved in embryonic and neural stem cell state decisions
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60. Event Analysis: Using Transcript Events To Improve Estimates of Abundance in RNA-seq Data
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62. Transcriptome Analysis of Non‐Coding RNAs in Livestock Species: Elucidating the Ambiguity
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63. A Hypothesis Testing Based Method for Normalization and Differential Expression Analysis of RNA-Seq Data
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64. Identification and analysis of mouse non-coding RNA using transcriptome data
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65. Visualization of Pseudomonas genomic structure by abundant 8–14mer oligonucleotides
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66. Allele Specific Expression (ASE) analysis between Bos Taurus and Bos Indicus cows using RNA-Seq data at SNP level and gene level.
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67. Embryonic gene expression profiling using microarray analysis.
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68. Messenger RNA Enrichment Using Synthetic Oligo(T) Click Nucleic Acids
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71. An iteration normalization and test method for differential expression analysis of RNA-seq data
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72. LOESS correction for length variation in gene set-based genomic sequence analysis
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83. Shrinkage estimation of large covariance matrices using multiple shrinkage targets
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85. RNA‐Seq Library Construction Methods for Transcriptome Analysis
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88. Statistical and Computational Studies on Alternative Splicing
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89. Whole genome evaluation analysis and preliminary Assembly of Oratosquilla oratoria (Stomatopoda: Squillidae)
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