Literature DB >> 28968766

Computational resources for ribosome profiling: from database to Web server and software.

Hongwei Wang1, Yan Wang1, Zhi Xie1.   

Abstract

Ribosome profiling is emerging as a powerful technique that enables genome-wide investigation of in vivo translation at sub-codon resolution. The increasing application of ribosome profiling in recent years has achieved remarkable progress toward understanding the composition, regulation and mechanism of translation. This benefits from not only the awesome power of ribosome profiling but also an extensive range of computational resources available for ribosome profiling. At present, however, a comprehensive review on these resources is still lacking. Here, we survey the recent computational advances guided by ribosome profiling, with a focus on databases, Web servers and software tools for storing, visualizing and analyzing ribosome profiling data. This review is intended to provide experimental and computational biologists with a reference to make appropriate choices among existing resources for the question at hand.

Mesh:

Year:  2019        PMID: 28968766     DOI: 10.1093/bib/bbx093

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  12 in total

1.  Ribosome elongating footprints denoised by wavelet transform comprehensively characterize dynamic cellular translation events.

Authors:  Zhiyu Xu; Long Hu; Binbin Shi; SiSi Geng; Longchen Xu; Dong Wang; Zhi J Lu
Journal:  Nucleic Acids Res       Date:  2018-10-12       Impact factor: 16.971

2.  Selective ribosome profiling to study interactions of translating ribosomes in yeast.

Authors:  Carla V Galmozzi; Dorina Merker; Ulrike A Friedrich; Kristina Döring; Günter Kramer
Journal:  Nat Protoc       Date:  2019-07-22       Impact factor: 13.491

3.  RiboReport - benchmarking tools for ribosome profiling-based identification of open reading frames in bacteria.

Authors:  Rick Gelhausen; Teresa Müller; Sarah L Svensson; Omer S Alkhnbashi; Cynthia M Sharma; Florian Eggenhofer; Rolf Backofen
Journal:  Brief Bioinform       Date:  2022-03-10       Impact factor: 11.622

Review 4.  Small open reading frames in plant research: from prediction to functional characterization.

Authors:  Sheue Ni Ong; Boon Chin Tan; Aisyafaznim Al-Idrus; Chee How Teo
Journal:  3 Biotech       Date:  2022-02-24       Impact factor: 2.406

5.  Three-nucleotide periodicity of nucleotide diversity in a population enables the identification of open reading frames.

Authors:  Mengyun Jiang; Weidong Ning; Shishi Wu; Xingwei Wang; Kun Zhu; Aomei Li; Yongyao Li; Shifeng Cheng; Bo Song
Journal:  Brief Bioinform       Date:  2022-07-18       Impact factor: 13.994

6.  RiboDiPA: a novel tool for differential pattern analysis in Ribo-seq data.

Authors:  Keren Li; C Matthew Hope; Xiaozhong A Wang; Ji-Ping Wang
Journal:  Nucleic Acids Res       Date:  2020-12-02       Impact factor: 16.971

7.  RiboVIEW: a computational framework for visualization, quality control and statistical analysis of ribosome profiling data.

Authors:  Carine Legrand; Francesca Tuorto
Journal:  Nucleic Acids Res       Date:  2020-01-24       Impact factor: 16.971

8.  Shoelaces: an interactive tool for ribosome profiling processing and visualization.

Authors:  Åsmund Birkeland; Katarzyna ChyŻyńska; Eivind Valen
Journal:  BMC Genomics       Date:  2018-07-18       Impact factor: 3.969

9.  RiboStreamR: a web application for quality control, analysis, and visualization of Ribo-seq data.

Authors:  Patrick Perkins; Serina Mazzoni-Putman; Anna Stepanova; Jose Alonso; Steffen Heber
Journal:  BMC Genomics       Date:  2019-06-06       Impact factor: 3.969

10.  HRPDviewer: human ribosome profiling data viewer.

Authors:  Wei-Sheng Wu; Yu-Xuan Jiang; Jer-Wei Chang; Yu-Han Chu; Yi-Hao Chiu; Yi-Hong Tsao; Torbjörn E M Nordling; Yan-Yuan Tseng; Joseph T Tseng
Journal:  Database (Oxford)       Date:  2018-01-01       Impact factor: 3.451

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