Evidence map›Paper›PMID 29066821›Full record

ArticleScientific reports2017

Large-scale DNA Barcode Library Generation for Biomolecule Identification in High-throughput Screens.

Eli Lyons, Paul Sheridan, Georg Tremmel, Satoru Miyano, Sumio Sugano

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
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

13 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Next-Generation Sequencing Technologies in Blood Group Typing.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2020
    Review
  12. Indel-correcting DNA barcodes for high-throughput sequencing.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  13. Oral microbiome research - A Beginner's glossary.Journal of oral and maxillofacial pathology : JOMFP
    Article
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

5 authors at 3 institutions in 1 country.

Eli LyonsLaboratory of Functional Genomics, Department of Computational Biology and Medical Science, School of Frontier Sciences, University of Tokyo, Tokyo, 108-8639, Japan. elilyons@gmail.com.ORCID 0000-0002-4591-9024
Paul SheridanDepartment of Active Life Promotion Science, Graduate School of Medicine, Hirosaki University, Hirosaki, 036-8562, Japan.
Georg TremmelLaboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, 108-8639, Japan.
Satoru MiyanoLaboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, 108-8639, Japan.
Sumio SuganoLaboratory of Functional Genomics, Department of Computational Biology and Medical Science, School of Frontier Sciences, University of Tokyo, Tokyo, 108-8639, Japan.
The University of Tokyo · JPTokyo University of Science · JPHirosaki University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput screens allow for the identification of specific biomolecules with characteristics of interest. In barcoded screens, DNA barcodes are linked to target biomolecules in a manner allowing for the target molecules making up a library to be identified by sequencing the DNA barcodes using Next Generation Sequencing. To be useful in experimental settings, the DNA barcodes in a library must satisfy certain constraints related to GC content, homopolymer length, Hamming distance, and blacklisted subsequences. Here we report a novel framework to quickly generate large-scale libraries of DNA barcodes for use in high-throughput screens. We show that our framework dramatically reduces the computation time required to generate large-scale DNA barcode libraries, compared with a naїve approach to DNA barcode library generation. As a proof of concept, we demonstrate that our framework is able to generate a library consisting of one million DNA barcodes for use in a fragment antibody phage display screening experiment. We also report generating a general purpose one billion DNA barcode library, the largest such library yet reported in literature. Our results demonstrate the value of our novel large-scale DNA barcode library generation framework for use in high-throughput screening applications.

Indexed as

DNA Barcoding, TaxonomicGene LibraryHigh-Throughput Nucleotide SequencingSequence Analysis, DNA

Identifiers

PMID29066821
PMCPMC5654825
OpenAlexW2766984031

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.