ArticleMethods (San Diego, Calif.)2016
AptaPLEX - A dedicated, multithreaded demultiplexer for HT-SELEX data.
Article in Methods (San Diego, Calif.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Are we there yet with XNA aptamers?RSC advances · 2026Review
- A Data-Analysis Pipeline for High-Throughput Systematic Evolution of Ligands by Exponential Enrichment (HT-SELEX) in the Characterization of Telomeric Proteins.bioRxiv : the preprint server for biology · 2026Article
- AptamerRunner: An accessible aptamer structure prediction and clustering algorithm for visualization of selected aptamers.Molecular therapy. Nucleic acids · 2024Article
- Aptamers as an approach to targeted cancer therapy.Cancer cell international · 2024Review
- AptamerRunner: An accessible aptamer structure prediction and clustering algorithm for visualization of selected aptamers.bioRxiv : the preprint server for biology · 2023Article
- Design and Prediction of Aptamers Assisted by In Silico Methods.Biomedicines · 2023Review
- Hybrid-Type SELEX for the Selection of Artificial Nucleic Acid Aptamers Exhibiting Cell Internalization Activity.Pharmaceutics · 2021Article
- Implementation of High-Throughput Sequencing (HTS) in Aptamer Selection Technology.International journal of molecular sciences · 2020Review
- Methods and Applications of In Silico Aptamer Design and Modeling.International journal of molecular sciences · 2020Review
- A 2'FY-RNA Motif Defines an Aptamer for Ebolavirus Secreted Protein.Scientific reports · 2018Article
- Systematic evaluation of error rates and causes in short samples in next-generation sequencing.Scientific reports · 2018Article
- AptaSUITE: A Full-Featured Bioinformatics Framework for the Comprehensive Analysis of Aptamers from HT-SELEX Experiments.Molecular therapy. Nucleic acids · 2018Article
- Multiplex Aptamer Discovery through Apta-Seq and Its Application to ATP Aptamers Derived from Human-Genomic SELEX.ACS chemical biology · 2017Article
- Highly Constrained Bicyclic Scaffolds for the Discovery of Protease-Stable Peptides via mRNA Display.ACS chemical biology · 2017Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Aptamers, short and synthetic RNA/DNA molecules binding distinct targets with high affinity and specificity, are identified via Systematic Evolution of Ligands by Exponential Enrichment (SELEX), an in vitro procedure that, starting from a pool of random ssDNA/RNA sequences, selects sequences by amplifying target-affine species through a series of selection cycles. This versatile protocol has recently been combined with high throughput sequencing, allowing arbitrary stages of the selection to be sequenced and analyzed in silico. As a prerequisite, these data require extensive preprocessing by means of quality controls, error correction and demultiplexing, all while taking into account the specific design of aptamers. Existing solutions addressing this task are currently present only as integrated components in larger pipelines, limiting their applicability in independent software solutions. Here we present AptaPLEX, a standalone and platform independent demultiplexer specifically designed for HT-SELEX data. Given the multiplexed data from one or multiple HT-SELEX experiments, AptaPLEX extracts and restores aptamers into the original selection cycles by identifying the barcode and primer regions in each read. AptaPLEX is capable of fuzzy matching for both the barcode and primers, and automatically corrects mismatches between forward and reverse reads for paired-end data. Our software provides a rich set of additional features and can easily be integrated into existing analysis automation pipelines on multiple platforms ranging from desktop machines to cloud based solutions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.