Evidence map›Paper›PMID 38412294›Full record

ArticleNucleic acids research2024

BISCUIT: an efficient, standards-compliant tool suite for simultaneous genetic and epigenetic inference in bulk and single-cell studies.

Wanding Zhou, Benjamin K Johnson, Jacob Morrison, Ian Beddows, James Eapen, Efrat Katsman, Ayush Semwal, Walid Abi Habib, Lyong Heo, Peter W Laird and 3 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
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  6. MidbrainbioRxiv : the preprint server for biology · 2026
    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

13 authors.

Wanding ZhouDepartment of Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA.ORCID 0000-0001-9126-1932
Benjamin K JohnsonDepartment of Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA.ORCID 0000-0002-1482-1032
Jacob MorrisonDepartment of Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA.ORCID 0000-0001-8592-4744
Ian BeddowsDepartment of Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA.
James EapenDepartment of Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA.
Efrat KatsmanDepartment of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9112102, Israel.
Ayush SemwalDepartment of Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA.
Walid Abi HabibDepartment of Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA.
Lyong HeoDepartment of Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA.
Peter W LairdDepartment of Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA.ORCID 0000-0001-9117-3641
Benjamin P BermanDepartment of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9112102, Israel.ORCID 0000-0002-2099-9005
Timothy J TricheDepartment of Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA.ORCID 0000-0001-5665-946X
Hui ShenDepartment of Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA.ORCID 0000-0001-9767-4084

Funding

High-throughput Epigenomic Mapping of Regulatory Elements in Ovarian Cancer at Basepair ResolutionR37CA230748 · NCI · VAN ANDEL RESEARCH INSTITUTE · PI SHEN, HUI · 2018 to 2024
$3.4M
Integrative Cancer Epigenomic Data Analysis Center (ICE-DAC)U24CA264023 · NCI · VAN ANDEL RESEARCH INSTITUTE · PI LAIRD, PETER W, SHEN, HUI · 2021 to 2025
$2.2M
Decoding Single-cell DNA Methylomes for Epigenetic Cell IdentityR35GM146978 · NIGMS · CHILDREN'S HOSP OF PHILADELPHIA · PI Wanding Zhou · 2022 to 2026
$2.2M
NCI NIH HHS R37 CA230748NCI NIH HHS U24 CA264023NIGMS NIH HHS R35 GM146978NIH HHS R37CA230748
6 · The paper itself

Abstract

Data from both bulk and single-cell whole-genome DNA methylation experiments are under-utilized in many ways. This is attributable to inefficient mapping of methylation sequencing reads, routinely discarded genetic information, and neglected read-level epigenetic and genetic linkage information. We introduce the BISulfite-seq Command line User Interface Toolkit (BISCUIT) and its companion R/Bioconductor package, biscuiteer, for simultaneous extraction of genetic and epigenetic information from bulk and single-cell DNA methylation sequencing. BISCUIT's performance, flexibility and standards-compliant output allow large, complex experimental designs to be characterized on clinical timescales. BISCUIT is particularly suited for processing data from single-cell DNA methylation assays, with its excellent scalability, efficiency, and ability to greatly enhance mappability, a key challenge for single-cell studies. We also introduce the epiBED format for single-molecule analysis of coupled epigenetic and genetic information, facilitating the study of cellular and tissue heterogeneity from DNA methylation sequencing.

Indexed as

DNA MethylationEpigenesis, GeneticHigh-Throughput Nucleotide SequencingSoftwareEpigenomicsSequence Analysis, DNASulfitesSulfites

Identifiers

PMID38412294
PMCPMC11014253

What OpenQuestion holds

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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.