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AptaTRACE Elucidates RNA Sequence-Structure Motifs from Selection Trends in HT-SELEX Experiments

  • Published:2016-07 Issue:1 Volume:3 Page:62-70
  • ISSN:2405-4712
  • Container-title:Cell Systems
  • language:en
  • Short-container-title:Cell Systems

Author:

Dao Phuong,Hoinka Jan,Takahashi Mayumi,Zhou Jiehua,Ho Michelle,Wang Yijie,Costa Fabrizio,Rossi John J.,Backofen Rolf,Burnett John,Przytycka Teresa M.

Publisher

Elsevier BV

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Reference31 articles.

1. FASTAptamer: A Bioinformatic Toolkit for High-throughput Sequence Analysis of Combinatorial Selections;Alam;Mol. Ther. Nucleic Acids,2015

2. Isolation and optimization of murine IL-10 receptor blocking oligonucleotide aptamers using high-throughput sequencing;Berezhnoy;Mol. Ther.,2012

3. Development of RNA aptamers targeting Ebola virus VP35;Binning;Biochemistry,2013

4. APTANI: a computational tool to select aptamers through sequence-structure motif analysis of HT-SELEX data;Caroli;Bioinformatics,2015

5. Quantitative selection of DNA aptamers through microfluidic selection and high-throughput sequencing;Cho;Proc. Natl. Acad. Sci. U.S.A,2010

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