Evidence map›Paper›PMID 40186644›Full record

ArticleJournal of molecular evolution2025

EasyDIVER + : An Advanced Tool for Analyzing High Throughput Sequencing Data from In Vitro Evolution of Nucleic Acids or Amino Acids.

Celia Blanco, Allison Tee, Pramesh Sharma, Matilda S Newton, Kun-Hwa Lee, Samuel E Erickson, Burckhard Seelig, Irene A Chen

Abstract readLetter
In one paragraph

Article in Journal of molecular evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Celia BlancoBlue Marble Space Institute of Science, 600 1st Avenue, 1st Floor, Seattle, WA, USA. celia.blanco@bmsis.org.ORCID 0000-0003-1536-1493
Allison TeeBlue Marble Space Institute of Science, 600 1st Avenue, 1st Floor, Seattle, WA, USA.
Pramesh SharmaCollege of Engineering, University of California, Davis, CA, USA.
Matilda S NewtonDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA.
Kun-Hwa LeeDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA.
Samuel E EricksonDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA.
Burckhard SeeligDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA.
Irene A ChenDepartment of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA, USA.

Funding

Training the Next Generation of Chemical BiologistsT32GM132029 · NIGMS · UNIVERSITY OF MINNESOTA · PI Erin Elizabeth Carlson, William Charles Krause Pomerantz · 2019 to 2026
$2.7M
NASA 80NSSC21K0595NASA NNX14AK29GNational Institute of Health 32GM132029NIGMS NIH HHS T32 GM132029Simons Foundation 290356FY18Simons Foundation 340762
6 · The paper itself

Abstract

In vitro evolution is a powerful technique for identifying functional nucleic acids and peptides, but the analysis of the resulting high-throughput sequencing data poses significant challenges, particularly in peptide selections. Existing bioinformatics tools often lack the specificity needed for this task, leaving researchers to navigate complex datasets with inadequate resources. To address these challenges, we present EasyDIVER + , an enhanced pipeline building on the foundation of the original EasyDIVER tool, which was designed for pre-processing sequencing data. EasyDIVER + not only processes raw, paired-end, demultiplexed Illumina read files but also introduces advanced analytical capabilities, including the calculation of enrichment values for each unique sequence across consecutive selection rounds. Furthermore, EasyDIVER + offers a highly flexible and customizable visualization platform, enabling detailed graphical representations of sequence metrics. These new features mark a significant advance in bioinformatics for peptide and protein data, providing researchers with intuitive tools for comprehensive data analysis and interpretation.

Indexed as

Amino AcidsComputational BiologyDirected Molecular EvolutionHigh-Throughput Nucleotide SequencingNucleic AcidsSoftwareAmino AcidsNucleic AcidsBioinformaticsHigh-throughput sequencingIn vitro evolutionmRNA displaySELEX

Identifiers

PMID40186644
PMCPMC12006205

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.