Evidence map›Paper›PMID 28381613›Full record

ArticleGenome research2017

Direct determination of diploid genome sequences.

Neil I Weisenfeld, Vijay Kumar, Preyas Shah, Deanna M Church, David B Jaffe

Erratum issuedAbstract read
In one paragraph

Article in Genome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 471 papers.

0numbers the graph read from it
0cells of the map it votes in
471citing 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

471 citing papers in PubMed.

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  14. Bioinformatics advances · 2026
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  19. Life inside a bag: multiomics insights into the bagworm species Eumeta crameri.DNA research : an international journal for rapid publication of reports on genes and genomes · 2025
    Article
  20. Genome assemblies of IndianNAR genomics and bioinformatics · 2025
    Article

411 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Neil I Weisenfeld10x Genomics, Pleasanton, California 94566, USA.
Vijay Kumar10x Genomics, Pleasanton, California 94566, USA.
Preyas Shah10x Genomics, Pleasanton, California 94566, USA.
Deanna M Church10x Genomics, Pleasanton, California 94566, USA.
David B Jaffe10x Genomics, Pleasanton, California 94566, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Determining the genome sequence of an organism is challenging, yet fundamental to understanding its biology. Over the past decade, thousands of human genomes have been sequenced, contributing deeply to biomedical research. In the vast majority of cases, these have been analyzed by aligning sequence reads to a single reference genome, biasing the resulting analyses, and in general, failing to capture sequences novel to a given genome. Some de novo assemblies have been constructed free of reference bias, but nearly all were constructed by merging homologous loci into single "consensus" sequences, generally absent from nature. These assemblies do not correctly represent the diploid biology of an individual. In exactly two cases, true diploid de novo assemblies have been made, at great expense. One was generated using Sanger sequencing, and one using thousands of clone pools. Here, we demonstrate a straightforward and low-cost method for creating true diploid de novo assemblies. We make a single library from ∼1 ng of high molecular weight DNA, using the 10x Genomics microfluidic platform to partition the genome. We applied this technique to seven human samples, generating low-cost HiSeq X data, then assembled these using a new "pushbutton" algorithm, Supernova. Each computation took 2 d on a single server. Each yielded contigs longer than 100 kb, phase blocks longer than 2.5 Mb, and scaffolds longer than 15 Mb. Our method provides a scalable capability for determining the actual diploid genome sequence in a sample, opening the door to new approaches in genomic biology and medicine.

Indexed as

DiploidyContig MappingGenome, HumanGenomic LibraryHumansMicrofluidicsSequence Analysis, DNASoftware

Identifiers

PMID28381613
PMCPMC5411770

What OpenQuestion holds

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LicenceCC BY
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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.