Gene expression level for ovine BMDMs pre- and post-LPS stimulation, quantified against the full Oar v3.1 reference transcriptome using polyA-selected and rRNA-depleted libraries. Table S2. Comparison of polyA+ and ribo-minus TPM distributions with different reference transcriptomes. Table S3. Genes detected in both polyA-selected and rRNA-depleted libraries, if quantified against the full Oar v3.1 reference transcriptome. Table S4. Genes detected only in polyA-selected libraries, if quantified against the full Oar v3.1 reference transcriptome. Table S5. Genes detected only in rRNA-depleted libraries, if quantified against the full Oar v3.1 reference transcriptome. Table S6. Number of pseudoalignments per sample, if quantified against the f...
Figure S1. (a) Classification of biotypes for detected transcripts; length distribution of transcrip...
Normalization of microarray data by invariant gene set. (A) Background-corrected mRNA expression acr...
Background The availability of fast alignment-free algorithms has greatly reduced the computational ...
RNA-seq data for genes more highly expressed during late pregnancy. Table S3: RNA-seq data for genes...
Gene set enrichment analysis of SRP016568. The file contains an XLSX spreadsheet summarizing the top...
Tables. (A) Top 5 Canonical pathways generated by Ingenuity Pathway Analysis (IPA) of differentially...
Gene list. Table S2. Pathway list and genes in the pathway. Table S3. Scale and center data used for...
Table S1. List of gene-specific primers used in qPCR. Table S2. Principal component analysis of micr...
Table S1. List of 30-kb windows on MGS genome with top 0.5% high-LSBL values. Table S2. Information ...
Table S1. Summary of the numbers of oligos and cDNAs analyzed for each nucleus. Table S2. Summary of...
Table S1. Sequencing and mapping statistics. Listed are the sequencing details and mapping statistic...
Supplementary text detailing RT-qPCR validation of the RNA-seq data. Table S4. Candidate genes measu...
An illustration of various macro-molecules interacting with the mRNA transcript and regulatory signa...
Table S1. Primers for qPCR. Table S2. The list of all features considered prior to feature selection...
Gene ontology (GO) enrichment analysis by Cytoscape of genes in mRNA modules negatively correlated w...
Figure S1. (a) Classification of biotypes for detected transcripts; length distribution of transcrip...
Normalization of microarray data by invariant gene set. (A) Background-corrected mRNA expression acr...
Background The availability of fast alignment-free algorithms has greatly reduced the computational ...
RNA-seq data for genes more highly expressed during late pregnancy. Table S3: RNA-seq data for genes...
Gene set enrichment analysis of SRP016568. The file contains an XLSX spreadsheet summarizing the top...
Tables. (A) Top 5 Canonical pathways generated by Ingenuity Pathway Analysis (IPA) of differentially...
Gene list. Table S2. Pathway list and genes in the pathway. Table S3. Scale and center data used for...
Table S1. List of gene-specific primers used in qPCR. Table S2. Principal component analysis of micr...
Table S1. List of 30-kb windows on MGS genome with top 0.5% high-LSBL values. Table S2. Information ...
Table S1. Summary of the numbers of oligos and cDNAs analyzed for each nucleus. Table S2. Summary of...
Table S1. Sequencing and mapping statistics. Listed are the sequencing details and mapping statistic...
Supplementary text detailing RT-qPCR validation of the RNA-seq data. Table S4. Candidate genes measu...
An illustration of various macro-molecules interacting with the mRNA transcript and regulatory signa...
Table S1. Primers for qPCR. Table S2. The list of all features considered prior to feature selection...
Gene ontology (GO) enrichment analysis by Cytoscape of genes in mRNA modules negatively correlated w...
Figure S1. (a) Classification of biotypes for detected transcripts; length distribution of transcrip...
Normalization of microarray data by invariant gene set. (A) Background-corrected mRNA expression acr...
Background The availability of fast alignment-free algorithms has greatly reduced the computational ...