scholarly journals Isoform-level Ribosome Occupancy Estimation Guided by Transcript Abundance with Ribomap

2015 ◽  
Author(s):  
Hao Wang ◽  
Joel McManus ◽  
Carl Kingsford
Keyword(s):  
Alternative Splicing ◽  
Open Source ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Repetitive Sequences ◽  
Transcript Abundance ◽  
Accurate Estimate ◽  
Ribosome Profiling ◽  
Occupancy Estimation ◽  
Sequencing Technique

Ribosome profiling is a recently developed high-throughput sequencing technique that captures approximately 30 bp long ribosome-protected mRNA fragments during translation. Because of alternative splicing and repetitive sequences, a ribosome-protected read may map to many places in the transcriptome, leading to discarded or arbitrary mappings when standard approaches are used. We present a technique and software that addresses this problem by assigning reads to potential origins proportional to estimated transcript abundance. This yields a more accurate estimate of ribosome profiles compared with a naïve mapping. Ribomap is available as open source at http://www.cs.cmu.edu/∼ckingsf/software/ribomap.

scholarly journals rMAPS2: an update of the RNA map analysis and plotting server for alternative splicing regulation

2020 ◽  
Vol 48 (W1) ◽  
pp. W300-W306 ◽  
Author(s):  
Jae Y Hwang ◽  
Sungbo Jung ◽  
Tae L Kook ◽  
Eric C Rouchka ◽  
Jinwoong Bok ◽  
...  
Keyword(s):  
Alternative Splicing ◽  
High Throughput ◽  
Splice Site ◽  
High Throughput Sequencing ◽  
Rna Binding ◽  
Rna Binding Protein ◽  
Sequencing Data ◽  
High Throughput Sequencing Data ◽  
Retained Intron ◽  
Map Analysis

Abstract The rMAPS2 (RNA Map Analysis and Plotting Server 2) web server, freely available at http://rmaps.cecsresearch.org/, has provided the high-throughput sequencing data research community with curated tools for the identification of RNA binding protein sites. rMAPS2 analyzes differential alternative splicing or CLIP peak data obtained from high-throughput sequencing data analysis tools like MISO, rMATS, Piranha, PIPE-CLIP and PARalyzer, and then, graphically displays enriched RNA-binding protein target sites. The initial release of rMAPS focused only on the most common alternative splicing event, skipped exon or exon skipping. However, there was a high demand for the analysis of other major types of alternative splicing events, especially for retained intron events since this is the most common type of alternative splicing in plants, such as Arabidopsis thaliana. Here, we expanded the implementation of rMAPS2 to facilitate analyses for all five major types of alternative splicing events: skipped exon, mutually exclusive exons, alternative 5′ splice site, alternative 3′ splice site and retained intron. In addition, by employing multi-threading, rMAPS2 has vastly improved the user experience with significant reductions in running time, ∼3.5 min for the analysis of all five major alternative splicing types at once.

scholarly journals NASQAR: A web-based platform for high-throughput sequencing data analysis and visualization

2019 ◽  
Author(s):  
Ayman Yousif ◽  
Nizar Drou ◽  
Jillian Rowe ◽  
Mohammed Khalfan ◽  
Kristin C Gunsalus
Keyword(s):  
New York ◽  
Data Analysis ◽  
Open Source ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Web Applications ◽  
Rna Seq ◽  
Sequencing Data ◽  
Web Based ◽  
Link Type

AbstractBackgroundAs high-throughput sequencing applications continue to evolve, the rapid growth in quantity and variety of sequence-based data calls for the development of new software libraries and tools for data analysis and visualization. Often, effective use of these tools requires computational skills beyond those of many researchers. To ease this computational barrier, we have created a dynamic web-based platform, NASQAR (Nucleic Acid SeQuence Analysis Resource).ResultsNASQAR offers a collection of custom and publicly available open-source web applications that make extensive use of a variety of R packages to provide interactive data analysis and visualization. The platform is publicly accessible at http://nasqar.abudhabi.nyu.edu/. Open-source code is on GitHub at https://github.com/nasqar/NASQAR, and the system is also available as a Docker image at https://hub.docker.com/r/aymanm/nasqarall. NASQAR is a collaboration between the core bioinformatics teams of the NYU Abu Dhabi and NYU New York Centers for Genomics and Systems Biology.ConclusionsNASQAR empowers non-programming experts with a versatile and intuitive toolbox to easily and efficiently explore, analyze, and visualize their Transcriptomics data interactively. Popular tools for a variety of applications are currently available, including Transcriptome Data Preprocessing, RNA-seq Analysis (including Single-cell RNA-seq), Metagenomics, and Gene Enrichment.

High-throughput sequencing methods to study neuronal RNA–protein interactions

2009 ◽  
Vol 37 (6) ◽  
pp. 1278-1280 ◽  
Author(s):  
Jernej Ule
Keyword(s):  
Transcriptional Regulation ◽  
High Throughput ◽  
Protein Interactions ◽  
Translational Control ◽  
High Throughput Sequencing ◽  
Ribosome Profiling ◽  
Cross Linking ◽  
Rnase Protection ◽  
Temporal Precision ◽  
Post Transcriptional Regulation

UV-cross-linking and RNase protection, combined with high-throughput sequencing, have provided global maps of RNA sites bound by individual proteins or ribosomes. Using a stringent purification protocol, UV-CLIP (UV-cross-linking and immunoprecipitation) was able to identify intronic and exonic sites bound by splicing regulators in mouse brain tissue. Ribosome profiling has been used to quantify ribosome density on budding yeast mRNAs under different environmental conditions. Post-transcriptional regulation in neurons requires high spatial and temporal precision, as is evident from the role of localized translational control in synaptic plasticity. It remains to be seen if the high-throughput methods can be applied quantitatively to study the dynamics of RNP (ribonucleoprotein) remodelling in specific neuronal populations during the neurodegenerative process. It is certain, however, that applications of new biochemical techniques followed by high-throughput sequencing will continue to provide important insights into the mechanisms of neuronal post-transcriptional regulation.

scholarly journals Pitfalls of Mapping High-Throughput Sequencing Data to Repetitive Sequences: Piwi’s Genomic Targets Still Not Identified

2015 ◽  
Vol 32 (6) ◽  
pp. 765-771 ◽  
Author(s):  
Georgi K. Marinov ◽  
Jie Wang ◽  
Dominik Handler ◽  
Barbara J. Wold ◽  
Zhiping Weng ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Repetitive Sequences ◽  
Sequencing Data ◽  
High Throughput Sequencing Data
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