Literature DB >> 23074262

Interactive exploration of RNA22 microRNA target predictions.

Phillipe Loher1, Isidore Rigoutsos.   

Abstract

MicroRNA (miRNA) target prediction is an important problem. Given an miRNA sequence the task is to determine the identity of the messenger RNAs targeted by it, the locations within them where the interactions happen and the specifics of the formed heteroduplexes. Here, we describe a web-based application, RNA22-GUI, which we have designed and implemented for the interactive exploration and in-context visualization of predictions by RNA22, one of the popular miRNA target prediction algorithms. Central to our design has been the requirement to provide informative and comprehensive visualization that is integrated with interactive search capabilities and permits one to selectively isolate and focus on relevant information that is distilled on-the-fly from a large repository of pre-compiled predictions. RNA22-GUI is currently available for Homo sapiens, Mus musculus, Drosophila melanogaster and Caenorhabditis elegans.

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Year:  2012        PMID: 23074262     DOI: 10.1093/bioinformatics/bts615

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  80 in total

1.  Analysis of 13 cell types reveals evidence for the expression of numerous novel primate- and tissue-specific microRNAs.

Authors:  Eric Londin; Phillipe Loher; Aristeidis G Telonis; Kevin Quann; Peter Clark; Yi Jing; Eleftheria Hatzimichael; Yohei Kirino; Shozo Honda; Michelle Lally; Bharat Ramratnam; Clay E S Comstock; Karen E Knudsen; Leonard Gomella; George L Spaeth; Lisa Hark; L Jay Katz; Agnieszka Witkiewicz; Abdolmohamad Rostami; Sergio A Jimenez; Michael A Hollingsworth; Jen Jen Yeh; Chad A Shaw; Steven E McKenzie; Paul Bray; Peter T Nelson; Simona Zupo; Katrien Van Roosbroeck; Michael J Keating; George A Calin; Charles Yeo; Masaya Jimbo; Joseph Cozzitorto; Jonathan R Brody; Kathleen Delgrosso; John S Mattick; Paolo Fortina; Isidore Rigoutsos
Journal:  Proc Natl Acad Sci U S A       Date:  2015-02-23       Impact factor: 11.205

2.  Data mining of micrornas in breast carcinogenesis which may be a potential target for cancer prevention.

Authors:  Jin-Wook Kang; Min-Ji Kim; Hyun-Ah Baek; Jeong-Sang Lee
Journal:  Food Sci Biotechnol       Date:  2016-03-31       Impact factor: 2.391

Review 3.  Toward the promise of microRNAs - Enhancing reproducibility and rigor in microRNA research.

Authors:  Kenneth W Witwer; Marc K Halushka
Journal:  RNA Biol       Date:  2016-09-19       Impact factor: 4.652

4.  Integrated Genomic Characterization of Pancreatic Ductal Adenocarcinoma.

Authors: 
Journal:  Cancer Cell       Date:  2017-08-14       Impact factor: 31.743

5.  miR-221 inhibits autophagy and targets TP53INP1 in colorectal cancer cells.

Authors:  Dan Liao; Tong Li; Caiguo Ye; Liuyan Zeng; Huahui Li; Xingxiang Pu; Congcong Ding; Zhiwei He; Guo-Liang Huang
Journal:  Exp Ther Med       Date:  2017-11-16       Impact factor: 2.447

6.  Predicting the potential ankylosing spondylitis-related genes utilizing bioinformatics approaches.

Authors:  Hao Zhao; Dan Wang; Deyu Fu; Luan Xue
Journal:  Rheumatol Int       Date:  2014-11-29       Impact factor: 2.631

7.  miR-196b Is Epigenetically Silenced during the Premalignant Stage of Lung Carcinogenesis.

Authors:  Carmen S Tellez; Daniel E Juri; Kieu Do; Maria A Picchi; Teresa Wang; Gang Liu; Avrum Spira; Steven A Belinsky
Journal:  Cancer Res       Date:  2016-06-14       Impact factor: 12.701

8.  Increased BCAR1 predicts poor outcomes of non-small cell lung cancer in multiple-center patients.

Authors:  Bo Deng; Zhifu Sun; Wampfler Jason; Ping Yang
Journal:  Ann Surg Oncol       Date:  2013-08-01       Impact factor: 5.344

Review 9.  MicroRNAs in cancer.

Authors:  Gianpiero Di Leva; Michela Garofalo; Carlo M Croce
Journal:  Annu Rev Pathol       Date:  2013-09-25       Impact factor: 23.472

10.  Decrease of miR-146a is associated with the aggressiveness of human oral squamous cell carcinoma.

Authors:  Zonggao Shi; Jeffrey J Johnson; Rong Jiang; Yueying Liu; M Sharon Stack
Journal:  Arch Oral Biol       Date:  2015-06-20       Impact factor: 2.633

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