Evidence map›Paper›PMID 29565902›Full record

ArticleNature protocols2018

Cost-effective high-throughput single-haplotype iterative mapping and sequencing for complex genomic structures.

Daniel W Bellott, Ting-Jan Cho, Jennifer F Hughes, Helen Skaletsky, David C Page

Abstract read
In one paragraph

Article in Nature protocols, 2018. 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.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Sequence analysis inGenome research · 2020
    Article
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.

Daniel W BellottWhitehead Institute, Cambridge, Massachusetts, USA.
Ting-Jan ChoWhitehead Institute, Cambridge, Massachusetts, USA.
Jennifer F HughesWhitehead Institute, Cambridge, Massachusetts, USA.
Helen SkaletskyWhitehead Institute, Cambridge, Massachusetts, USA.
David C PageWhitehead Institute, Cambridge, Massachusetts, USA.ORCID 0000-0001-5489-6453

Funding

Making structurally complex genomic regions accessibleR01HG007852 · NHGRI · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI PAGE, DAVID C. · 2015 to 2017
$2.7M
Beyond the reproductive tract: The future of Y chromosome researchU01HG007587 · NHGRI · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI MUENKE, MAXIMILIAN, PAGE, DAVID C. · 2015 to 2017
$1.4M
NHGRI NIH HHS R01 HG007852NHGRI NIH HHS U01 HG007587
6 · The paper itself

Abstract

The reference sequences of structurally complex regions can be obtained only through highly accurate clone-based approaches. We and others have successfully used single-haplotype iterative mapping and sequencing (SHIMS) 1.0 to assemble structurally complex regions across the sex chromosomes of several vertebrate species and to allow for targeted improvements to the reference sequences of human autosomes. However, SHIMS 1.0 is expensive and time consuming, requiring resources that only a genome center can provide. Here we introduce SHIMS 2.0, an improved SHIMS protocol that allows even a small laboratory to generate high-quality reference sequence from complex genomic regions. Using a streamlined and parallelized library-preparation protocol, and taking advantage of inexpensive high-throughput short-read-sequencing technologies, a small laboratory with both molecular biology and bioinformatics experience can sequence and assemble 192 large-insert bacterial artificial chromosome (BAC) or fosmid clones in 1 week. In SHIMS 2.0, in contrast to other pooling strategies, each clone is sequenced with a unique barcode, thus enabling clones containing nearly identical sequences to be multiplexed in a single sequencing run and assembled separately. Relative to SHIMS 1.0, SHIMS 2.0 decreases the required cost and time by two orders of magnitude while preserving high sequencing accuracy.

Indexed as

ChromosomesAnimalsChromosome MappingComputational BiologyCost-Benefit AnalysisDNAGene LibraryGenomicsHaplotypesHigh-Throughput Nucleotide SequencingSequence Analysis, DNAVertebratesDNA

Identifiers

PMID29565902
PMCPMC6896216

What OpenQuestion holds

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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.