Evidence map›Paper›PMID 32529275›Full record

ArticleJournal of molecular evolution2020

EasyDIVER: A Pipeline for Assembling and Counting High-Throughput Sequencing Data from In Vitro Evolution of Nucleic Acids or Peptides.

Celia Blanco, Samuel Verbanic, Burckhard Seelig, Irene A Chen

Open access · hybridAbstract readLetter
In one paragraph

Article in Journal of molecular evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

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  10. Encapsulation of ribozymes inside model protocells leads to faster evolutionary adaptation.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
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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

4 authors at 2 institutions in 1 country.

Celia BlancoDepartment of Chemistry and Biochemistry 9510, University of California, Santa Barbara, CA, 93106, USA. celiablanco@ucla.edu.ORCID 0000-0003-1536-1493
Samuel VerbanicDepartment of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA, 90095, USA.ORCID 0000-0002-6835-6690
Burckhard SeeligDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, 55455, USA.ORCID 0000-0001-8598-0586
Irene A ChenDepartment of Chemistry and Biochemistry 9510, University of California, Santa Barbara, CA, 93106, USA.ORCID 0000-0001-6040-7927
University of California, Santa Barbara · USUniversity of Minnesota · US

Funding

Understanding how bacteriophages affect wound ecologies and developing new tools to harness bacteria-phage interactionsDP2GM123457 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI CHEN, IRENE ANN · 2016 to 2016
$2.3M
Developing a synthetic evolution approach to create de novo enzymesR01GM108703 · NIGMS · UNIVERSITY OF MINNESOTA · PI SEELIG, BURCKHARD · 2014 to 2017
$1.1M
NASA NNX14AK29GNASA NNX16AJ32GNIGMS NIH HHS DP2 GM123457NIGMS NIH HHS R01 GM108703NIH HHS GM108703
6 · The paper itself

Abstract

In vitro evolution is a well-established technique for the discovery of functional RNA and peptides. Increasingly, these experiments are analyzed by high-throughput sequencing (HTS) for both scientific and engineering objectives, but computational analysis of HTS data, particularly for peptide selections, can present a barrier to entry for experimentalists. We introduce EasyDIVER (Easy pre-processing and Dereplication of In Vitro Evolution Reads), a simple, user-friendly pipeline for processing high-throughput sequencing data from in vitro selections and directed evolution experiments. The pipeline takes as input raw, paired-end, demultiplexed Illumina read files. For each sample provided, EasyDIVER outputs a dereplicated list of unique nucleic acid and/or peptide sequences and their count reads.

Indexed as

Directed Molecular EvolutionHigh-Throughput Nucleotide SequencingNucleic AcidsPeptidesComputational BiologySoftwareNucleic AcidsPeptidesBioinformaticsHigh-throughput sequencingIn vitro evolutionmRNA displaySELEX

Identifiers

PMID32529275
PMCPMC7324411
OpenAlexW3035613024

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.