Evidence map›Paper›PMID 25734917›Full record

ArticleMolecular therapy. Nucleic acids2015

FASTAptamer: A Bioinformatic Toolkit for High-throughput Sequence Analysis of Combinatorial Selections.

Khalid K Alam, Jonathan L Chang, Donald H Burke

Abstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 146 papers.

0numbers the graph read from it
0cells of the map it votes in
146citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

146 citing papers in PubMed.

  1. Article
  2. Article
  3. Honeydew: A Fluorescent Aptamer for Low-Cost Azo Food Dyes.Chembiochem : a European journal of chemical biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. DNA aptamer AptScientific reports · 2025
    Article
  16. Article
  17. Article
  18. Rapid discovery of functional RNA domains.Nucleic acids research · 2025
    Article
  19. Article
  20. Article

86 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Khalid K AlamDepartment of Biochemistry, University of Missouri, Columbia, Missouri, USA.
Jonathan L Chang1] Department of Molecular Microbiology and Immunology, University of Missouri, Columbia, Missouri, USA [2] Current Address: School of Medicine, University of Missouri, Columbia, Missouri, USA.
Donald H Burke1] Department of Biochemistry, University of Missouri, Columbia, Missouri, USA [2] Department of Molecular Microbiology and Immunology, University of Missouri, Columbia, Missouri, USA.

Funding

Gene Therapy for HIV Using Aptamers that Target Reverse TranscriptaseR01AI074389 · NIAID · UNIVERSITY OF MISSOURI-COLUMBIA · PI BURKE, DONALD H · 2008 to 2017
$4.5M
NIAID NIH HHS R01 AI074389
6 · The paper itself

Abstract

High-throughput sequence (HTS) analysis of combinatorial selection populations accelerates lead discovery and optimization and offers dynamic insight into selection processes. An underlying principle is that selection enriches high-fitness sequences as a fraction of the population, whereas low-fitness sequences are depleted. HTS analysis readily provides the requisite numerical information by tracking the evolutionary trajectory of individual sequences in response to selection pressures. Unlike genomic data, for which a number of software solutions exist, user-friendly tools are not readily available for the combinatorial selections field, leading many users to create custom software. FASTAptamer was designed to address the sequence-level analysis needs of the field. The open source FASTAptamer toolkit counts, normalizes and ranks read counts in a FASTQ file, compares populations for sequence distribution, generates clusters of sequence families, calculates fold-enrichment of sequences throughout the course of a selection and searches for degenerate sequence motifs. While originally designed for aptamer selections, FASTAptamer can be applied to any selection strategy that can utilize next-generation DNA sequencing, such as ribozyme or deoxyribozyme selections, in vivo mutagenesis and various surface display technologies (peptide, antibody fragment, mRNA, etc.). FASTAptamer software, sample data and a user's guide are available for download at http://burkelab.missouri.edu/fastaptamer.html.

Identifiers

PMID25734917
PMCPMC4354339

What OpenQuestion holds

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Registered trials

None linked

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.