<div>Supplementary figures, tables and files for Newman et. al, 2018, "Event Analysis: using transcript events to improve estimates of abundance in RNA-seq data", G3, manuscript# G3/2018/200373R1.</div><div><br></div><div>Additional File 1 contains Supplementary Figures 1-6 and Supplementaty Table 1</div><div><br></div><div>Supplementary File 1 contains the results of simulations to compare the Event Analysis approach to STAR (for junction detection) and iReckon (for transcript identification).</div><div><br></div><div>Supplementary File 2 contains the results of applying Event Analysis to eXpress, and the results of using iReckon to identify possible transcripts in the mouse neural data used in the study.<br></div><div><br></div><div>Suppl...
Supplementary figures and tables for Widmer et al. 2018<br> <p>Figure S1. Patte...
Single-cell data from mouse hindbrain are reproducible and correlate well with bulk mRNA-seq data. R...
Abstract Transcript quantification is a long-standing problem in genomics and estimati...
Alternative splicing leverages genomic content by allowing the synthesis of multiple transcripts and...
Deep sequencing of transcriptome (RNA-seq) provides unprecedented opportunity to interrogate plausib...
Additional file 1: Figure S1. Summary of the manual literature review of articles from 2020 that ana...
Alternative splicing is an important biological process in the generation of multiple functional tra...
<p>RNA was extracted from PD leukocytes pre-DBS, post-DBS on stimulation and following one hour of e...
(A) Alignment statistics of all RNA-seq reads derived from Illumina sequencing. (B) - (E) Event base...
Advances in genomics allow researchers to measure the complete set of transcripts in cells. These tr...
RNA-seq data are informative for the analysis of known and novel transcript isoforms. While the shor...
BACKGROUND: Alternative splicing increases proteome diversity by expressing multiple gene isoforms t...
Background: RNA-Seq technology measures the transcript abundance by generating sequence reads and co...
RNAseq reads from P1 WT and EmxKO mice were subjected to Splicetrap analysis (see Methods). Events w...
RNAseq reads from E18 WT and NesKO mice were subjected to Splicetrap analysis (see Methods). Events ...
Supplementary figures and tables for Widmer et al. 2018<br> <p>Figure S1. Patte...
Single-cell data from mouse hindbrain are reproducible and correlate well with bulk mRNA-seq data. R...
Abstract Transcript quantification is a long-standing problem in genomics and estimati...
Alternative splicing leverages genomic content by allowing the synthesis of multiple transcripts and...
Deep sequencing of transcriptome (RNA-seq) provides unprecedented opportunity to interrogate plausib...
Additional file 1: Figure S1. Summary of the manual literature review of articles from 2020 that ana...
Alternative splicing is an important biological process in the generation of multiple functional tra...
<p>RNA was extracted from PD leukocytes pre-DBS, post-DBS on stimulation and following one hour of e...
(A) Alignment statistics of all RNA-seq reads derived from Illumina sequencing. (B) - (E) Event base...
Advances in genomics allow researchers to measure the complete set of transcripts in cells. These tr...
RNA-seq data are informative for the analysis of known and novel transcript isoforms. While the shor...
BACKGROUND: Alternative splicing increases proteome diversity by expressing multiple gene isoforms t...
Background: RNA-Seq technology measures the transcript abundance by generating sequence reads and co...
RNAseq reads from P1 WT and EmxKO mice were subjected to Splicetrap analysis (see Methods). Events w...
RNAseq reads from E18 WT and NesKO mice were subjected to Splicetrap analysis (see Methods). Events ...
Supplementary figures and tables for Widmer et al. 2018<br> <p>Figure S1. Patte...
Single-cell data from mouse hindbrain are reproducible and correlate well with bulk mRNA-seq data. R...
Abstract Transcript quantification is a long-standing problem in genomics and estimati...