Evidence map›Paper›PMID 32580745›Full record

ArticleBMC bioinformatics2020

FSBC: fast string-based clustering for HT-SELEX data.

Shintaro Kato, Takayoshi Ono, Hirotaka Minagawa, Katsunori Horii, Ikuo Shiratori, Iwao Waga, Koichi Ito, Takafumi Aoki

Abstract read
In one paragraph

Article in BMC bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. SELEX-based DNA Aptamer Selection: A Perspective from the Advancement of Separation Techniques.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2021
    Review
  9. Review
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

8 authors.

Shintaro KatoNEC Solution Innovators, Ltd, 1-18-7 Shinkiba, Koto-ku, Tokyo, 136-8627, Japan. katou-s-mxn@nec.com.ORCID http://orcid.org/0000-0001-6240-1326
Takayoshi OnoGraduate School of Information Sciences, Tohoku University, 6-6-05 Aramaki Aza Aoba, Aoba-ku, Sendai-shi, Miyagi, 980-8579, Japan.
Hirotaka MinagawaNEC Solution Innovators, Ltd, 1-18-7 Shinkiba, Koto-ku, Tokyo, 136-8627, Japan.
Katsunori HoriiNEC Solution Innovators, Ltd, 1-18-7 Shinkiba, Koto-ku, Tokyo, 136-8627, Japan.
Ikuo ShiratoriNEC Solution Innovators, Ltd, 1-18-7 Shinkiba, Koto-ku, Tokyo, 136-8627, Japan.
Iwao WagaNEC Solution Innovators, Ltd, 1-18-7 Shinkiba, Koto-ku, Tokyo, 136-8627, Japan.
Koichi ItoGraduate School of Information Sciences, Tohoku University, 6-6-05 Aramaki Aza Aoba, Aoba-ku, Sendai-shi, Miyagi, 980-8579, Japan.
Takafumi AokiGraduate School of Information Sciences, Tohoku University, 6-6-05 Aramaki Aza Aoba, Aoba-ku, Sendai-shi, Miyagi, 980-8579, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe combination of systematic evolution of ligands by exponential enrichment (SELEX) and deep sequencing is termed high-throughput (HT)-SELEX, which enables searching aptamer candidates from a massive amount of oligonucleotide sequences. A clustering method is an important procedure to identify sequence groups including aptamer candidates for evaluation with experimental analysis. In general, aptamer includes a specific target binding region, which is necessary for binding to the target molecules. The length of the target binding region varies depending on the target molecules and/or binding styles. Currently available clustering methods for HT-SELEX only estimate clusters based on the similarity of full-length sequences or limited length of motifs as target binding regions. Hence, a clustering method considering the target binding region with different lengths is required. Moreover, to handle such huge data and to save sequencing cost, a clustering method with fast calculation from a single round of HT-SELEX data, not multiple rounds, is also preferred.

resultsWe developed fast string-based clustering (FSBC) for HT-SELEX data. FSBC was designed to estimate clusters by searching various lengths of over-represented strings as target binding regions. FSBC was also designed for fast calculation with search space reduction from a single round, typically the final round, of HT-SELEX data considering imbalanced nucleobases of the aptamer selection process. The calculation time and clustering accuracy of FSBC were compared with those of four conventional clustering methods, FASTAptamer, AptaCluster, APTANI, and AptaTRACE, using HT-SELEX data (>15 million oligonucleotide sequences). FSBC, AptaCluster, and AptaTRACE could complete the clustering for all sequence data, and FSBC and AptaTRACE performed higher clustering accuracy. FSBC showed the highest clustering accuracy and had the second fastest calculation speed among all methods compared.

conclusionFSBC is applicable to a large HT-SELEX dataset, which can facilitate the accurate identification of groups including aptamer candidates. AVAILABILITY OF DATA AND MATERIALS: FSBC is available at http://www.aoki.ecei.tohoku.ac.jp/fsbc/.

Indexed as

Aptamers, NucleotideCluster AnalysisHigh-Throughput Nucleotide SequencingSELEX Aptamer TechniqueSoftwareAptamers, NucleotideAptamerNext-generation sequencingSELEXSequence analysis

Identifiers

PMID32580745
PMCPMC7313139

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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.