Evidence map›Paper›PMID 26848124›Full record

ArticleGenome research2016

Chromosome-scale shotgun assembly using an in vitro method for long-range linkage.

Nicholas H Putnam, Brendan L O'Connell, Jonathan C Stites, Brandon J Rice, Marco Blanchette, Robert Calef, Christopher J Troll, Andrew Fields, Paul D Hartley, Charles W Sugnet and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Genome research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 461 papers.

0numbers the graph read from it
0cells of the map it votes in
461citing 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

461 citing papers in PubMed, 870 citations in OpenAlex.

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

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 at 4 institutions in 1 country.

Nicholas H PutnamDovetail Genomics LLC, Santa Cruz, California 95060, USA;ORCID http://orcid.org/0000-0002-1315-782X
Brendan L O'ConnellDovetail Genomics LLC, Santa Cruz, California 95060, USA; Department of Biomolecular Engineering, University of California, Santa Cruz, California 95066, USA;
Jonathan C StitesDovetail Genomics LLC, Santa Cruz, California 95060, USA;
Brandon J RiceDovetail Genomics LLC, Santa Cruz, California 95060, USA;
Marco BlanchetteDovetail Genomics LLC, Santa Cruz, California 95060, USA;
Robert CalefDovetail Genomics LLC, Santa Cruz, California 95060, USA;
Christopher J TrollDovetail Genomics LLC, Santa Cruz, California 95060, USA;
Andrew FieldsDovetail Genomics LLC, Santa Cruz, California 95060, USA;
Paul D HartleyDovetail Genomics LLC, Santa Cruz, California 95060, USA;
Charles W SugnetDovetail Genomics LLC, Santa Cruz, California 95060, USA;
David HausslerDepartment of Biomolecular Engineering, University of California, Santa Cruz, California 95066, USA; UC Santa Cruz Genomics Institute and Howard Hughes Medical Institute, University of California, Santa Cruz, California 95066, USA;
Daniel S RokhsarDepartment of Molecular and Cell Biology, University of California, Berkeley, California 94720, USA; Department of Energy, Joint Genome Institute, Walnut Creek, California 94598, USA.
Richard E GreenDovetail Genomics LLC, Santa Cruz, California 95060, USA; Department of Biomolecular Engineering, University of California, Santa Cruz, California 95066, USA;
Dovetail Genomics (United States) · USUniversity of California, Santa Cruz · USHoward Hughes Medical Institute · USJoint Genome Institute · US

Funding

Training SubprojectU54HG007990 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI HAUSSLER, DAVID H, PATTERSON, DAVID · 2014 to 2018
$14.8M
Howard Hughes Medical InstituteNHGRI NIH HHS U54 HG007990
6 · The paper itself

Abstract

Long-range and highly accurate de novo assembly from short-read data is one of the most pressing challenges in genomics. Recently, it has been shown that read pairs generated by proximity ligation of DNA in chromatin of living tissue can address this problem, dramatically increasing the scaffold contiguity of assemblies. Here, we describe a simpler approach ("Chicago") based on in vitro reconstituted chromatin. We generated two Chicago data sets with human DNA and developed a statistical model and a new software pipeline ("HiRise") that can identify poor quality joins and produce accurate, long-range sequence scaffolds. We used these to construct a highly accurate de novo assembly and scaffolding of a human genome with scaffold N50 of 20 Mbp. We also demonstrated the utility of Chicago for improving existing assemblies by reassembling and scaffolding the genome of the American alligator. With a single library and one lane of Illumina HiSeq sequencing, we increased the scaffold N50 of the American alligator from 508 kbp to 10 Mbp.

Indexed as

ChromosomesGenetic LinkageGenomic LibraryHigh-Throughput Nucleotide SequencingAnimalsCell LineComputational BiologyGenomicsHumansReproducibility of Results

Identifiers

PMID26848124
PMCPMC4772016
OpenAlexW1489349053

What OpenQuestion holds

Textmetadata
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.