Evidence map›Paper›PMID 34556684›Full record

ArticleScientific reports2021

Reconstructing and counting genomic fragments through tagmentation-based haploid phasing.

Patrick P T Leong, Aleksandar Mihajlović, Nadežda Bogdanović, Luka Breberina, Larry Xi

Abstract read
In one paragraph

Article in Scientific reports, 2021. 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

5 authors.

Patrick P T LeongDigenomix Corp, Hayward, CA, USA. patrick.leong@leongresearch.com.
Aleksandar MihajlovićDigenomix Corp, Hayward, CA, USA. Aleksandar.mihajlovic@beogenomics.com.
Nadežda BogdanovićFaculty of Mathematics, University of Belgrade, Belgrade, Serbia.
Luka BreberinaFaculty of Chemistry, University of Belgrade, Belgrade, Serbia.
Larry XiDigenomix Corp, Hayward, CA, USA. lxi@digenomix.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell sequencing provides a new level of granularity in studying the heterogeneous nature of cancer cells. For some cancers, this heterogeneity is the result of copy number changes of genes within the cellular genomes. The ability to accurately determine such copy number changes is critical in tracing and understanding tumorigenesis. Current single-cell genome sequencing methodologies infer copy numbers based on statistical approaches followed by rounding decimal numbers to integer values. Such methodologies are sample dependent, have varying calling sensitivities which heavily depend on the sample's ploidy and are sensitive to noise in sequencing data. In this paper we have demonstrated the concept of integer-counting by using a novel bioinformatic algorithm built on our library construction chemistry in order to detect the discrete nature of the genome.

Indexed as

DNA Copy Number VariationsChromosome MappingGenome, FungalGenome, HumanGenomic LibraryHaploidyHumansNeoplasmsSaccharomyces cerevisiaeSequence Analysis, DNASingle-Cell Analysis

Identifiers

PMID34556684
PMCPMC8460729

What OpenQuestion holds

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LicenceCC BY
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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.