rna-seq by expectation-maximization (rsem) software Search Results


90
OmicSoft Corporation implementation of rsem
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Broad Institute Inc normalized rna-seq by expectationmaximization (rsem) for genes
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Rna Seq By Expectation Maximization (Rsem), supplied by DNAFORM Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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OmicSoft Corporation rna-seq by expectation maximization (rsem) algorithm
Rna Seq By Expectation Maximization (Rsem) Algorithm, supplied by OmicSoft Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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Broad Institute Inc rna-seq by expectation maximization (rsem)
Rna Seq By Expectation Maximization (Rsem), supplied by Broad Institute Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Broad Institute Inc rsem expected counts
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Johns Hopkins HealthCare primary rna-seq data
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SourceForge net bowtie2
In silico expression analysis of Unigenes. ( a ) DEGs in leaves, ( b ) in roots under control and stress conditions. The short reads from individual sample libraries (including replicates) were mapped onto the assembled transcriptome using <t>Bowtie2</t> and abundance was calculated using RSEM. DEGs were identified using the Empirical Analysis of Digital Gene Expression (edgeR) statistical package. The heat maps were generated using MeV v 4.8.1, and indicate the relative transcript level of genes. Detailed information about the DEGs is provided in Supplementary table .
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Broad Institute Inc log2 rsem data (rna-seq by expectation maximization)
In silico expression analysis of Unigenes. ( a ) DEGs in leaves, ( b ) in roots under control and stress conditions. The short reads from individual sample libraries (including replicates) were mapped onto the assembled transcriptome using <t>Bowtie2</t> and abundance was calculated using RSEM. DEGs were identified using the Empirical Analysis of Digital Gene Expression (edgeR) statistical package. The heat maps were generated using MeV v 4.8.1, and indicate the relative transcript level of genes. Detailed information about the DEGs is provided in Supplementary table .
Log2 Rsem Data (Rna Seq By Expectation Maximization), supplied by Broad Institute Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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96
Broad Clinical Labs raw rna sequencing rna seq gene level
In silico expression analysis of Unigenes. ( a ) DEGs in leaves, ( b ) in roots under control and stress conditions. The short reads from individual sample libraries (including replicates) were mapped onto the assembled transcriptome using <t>Bowtie2</t> and abundance was calculated using RSEM. DEGs were identified using the Empirical Analysis of Digital Gene Expression (edgeR) statistical package. The heat maps were generated using MeV v 4.8.1, and indicate the relative transcript level of genes. Detailed information about the DEGs is provided in Supplementary table .
Raw Rna Sequencing Rna Seq Gene Level, supplied by Broad Clinical Labs, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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In silico expression analysis of Unigenes. ( a ) DEGs in leaves, ( b ) in roots under control and stress conditions. The short reads from individual sample libraries (including replicates) were mapped onto the assembled transcriptome using Bowtie2 and abundance was calculated using RSEM. DEGs were identified using the Empirical Analysis of Digital Gene Expression (edgeR) statistical package. The heat maps were generated using MeV v 4.8.1, and indicate the relative transcript level of genes. Detailed information about the DEGs is provided in Supplementary table .

Journal: Scientific Reports

Article Title: De-novo transcriptome analysis unveils differentially expressed genes regulating drought and salt stress response in Panicum sumatrense

doi: 10.1038/s41598-020-78118-3

Figure Lengend Snippet: In silico expression analysis of Unigenes. ( a ) DEGs in leaves, ( b ) in roots under control and stress conditions. The short reads from individual sample libraries (including replicates) were mapped onto the assembled transcriptome using Bowtie2 and abundance was calculated using RSEM. DEGs were identified using the Empirical Analysis of Digital Gene Expression (edgeR) statistical package. The heat maps were generated using MeV v 4.8.1, and indicate the relative transcript level of genes. Detailed information about the DEGs is provided in Supplementary table .

Article Snippet: The short reads from individual sample libraries (including replicates) were mapped onto the assembled transcriptome using Bowtie2 ( https://sourceforge.net/projects/bowtie-bio/ ) and abundance was calculated using RSEM (RNA-Seq by Expectation–Maximization- http://deweylab.github.io/RSEM/package ).

Techniques: In Silico, Expressing, Control, Gene Expression, Generated