Evidence map›Paper›PMID 36179084›Full record

ArticleBioinformatics (Oxford, England)2022

Top-Down Crawl: a method for the ultra-rapid and motif-free alignment of sequences with associated binding metrics.

Brendon H Cooper, Tsu-Pei Chiu, Remo Rohs

Abstract 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

3 authors.

Brendon H CooperDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.
Tsu-Pei ChiuDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.
Remo RohsDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.ORCID 0000-0003-1752-1884

Funding

Quantitative Modeling of Transcription Factor-DNA BindingR35GM130376 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Remo Rohs · 2019 to 2026
$3.3M
Human Frontier Science Program RGP0021/2018NIGMS NIH HHS R35 GM130376
6 · The paper itself

Abstract

summarySeveral high-throughput protein-DNA binding methods currently available produce highly reproducible measurements of binding affinity at the level of the k-mer. However, understanding where a k-mer is positioned along a binding site sequence depends on alignment. Here, we present Top-Down Crawl (TDC), an ultra-rapid tool designed for the alignment of k-mer level data in a rank-dependent and position weight matrix (PWM)-independent manner. As the framework only depends on the rank of the input, the method can accept input from many types of experiments (protein binding microarray, SELEX-seq, SMiLE-seq, etc.) without the need for specialized parameterization. Measuring the performance of the alignment using multiple linear regression with 5-fold cross-validation, we find TDC to perform as well as or better than computationally expensive PWM-based methods. AVAILABILITY AND IMPLEMENTATION: TDC can be run online at https://topdowncrawl.usc.edu or locally as a python package available through pip at https://pypi.org/project/TopDownCrawl. CONTACT: SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

SoftwareBinding SitesPosition-Specific Scoring MatricesProtein BindingSequence Analysis, DNA

Identifiers

PMID36179084
PMCPMC9665867

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.