Evidence map›Paper›PMID 35561209›Full record

ArticleBioinformatics (Oxford, England)2022

PacRAT: a program to improve barcode-variant mapping from PacBio long reads using multiple sequence alignment.

Chiann-Ling C Yeh, Clara J Amorosi, Soyeon Showman, Maitreya J Dunham

Open access · greenAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2022. 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
1.0field-weighted citation impact, top 28% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. BCAR: a fast and indel-tolerant barcode-sequence mapper.Bioinformatics (Oxford, England) · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Multiplex, multimodal mapping of variant effects in secreted proteins.bioRxiv : the preprint server for biology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. 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

4 authors at 1 institution in 1 country.

Chiann-Ling C YehDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0003-4032-8871
Clara J AmorosiDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
Soyeon ShowmanDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
Maitreya J DunhamDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0001-9944-2666
University of Washington · US

Funding

Comprehensive, context-aware, functional analysis of Cytochrome P450 variantsR01GM132162 · NIGMS · UNIVERSITY OF WASHINGTON · PI DUNHAM, MAITREYA J, FOWLER, DOUGLAS M · 2019 to 2022
$2.1M
Genetic basis of stress tolerance in natural populations of yeastR01GM101091 · NIGMS · UNIVERSITY OF WASHINGTON · PI DUNHAM, MAITREYA J, HESS, DAVID CHARLES · 2012 to 2020
$2.0M
National Human Genome Research Institute of the NIH T32 HG00035NIGMS NIH HHS R01 GM101091NIGMS NIH HHS R01 GM132162
6 · The paper itself

Abstract

summaryUse of PacBio sequencing for characterizing barcoded libraries of genetic variants is on the rise. However, current approaches in resolving PacBio sequencing artifacts can result in a high number of incorrectly identified or unusable reads. Here, we developed a PacBio Read Alignment Tool (PacRAT) that improves the accuracy of barcode-variant mapping through several steps of read alignment and consensus calling. To quantify the performance of our approach, we simulated PacBio reads from eight variant libraries of various lengths and showed that PacRAT improves the accuracy in pairing barcodes and variants across these libraries. Analysis of real (non-simulated) libraries also showed an increase in the number of reads that can be used for downstream analyses when using PacRAT. AVAILABILITY AND IMPLEMENTATION: PacRAT is written in Python and is freely available (https://github.com/dunhamlab/PacRAT). SUPPLEMENTARY INFORMATION: Supplemental data are available at Bioinformatics online.

Indexed as

High-Throughput Nucleotide SequencingSoftwareAlgorithmsSequence AlignmentSequence Analysis, DNA

Identifiers

PMID35561209
PMCPMC9306489
OpenAlexW4221046914

What OpenQuestion holds

Textmetadata
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.