Evidence map›Paper›PMID 28586438›Full record

ArticleNucleic acids research2017

COSINE: non-seeding method for mapping long noisy sequences.

Pegah Tootoonchi Afshar, Wing Hung Wong

Abstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Pegah Tootoonchi AfsharDepartment of Electrical Engineering, School of Engineering, Stanford University, Stanford, CA 94305, USA.
Wing Hung WongDepartment of Statistics and Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA.

Funding

Statistical and computational analysis in whole genome sequencing studies.R01HG007834 · NHGRI · STANFORD UNIVERSITY · PI WONG, WING H. · 2014 to 2016
$892k
NHGRI NIH HHS R01 HG007834
6 · The paper itself

Abstract

Third generation sequencing (TGS) are highly promising technologies but the long and noisy reads from TGS are difficult to align using existing algorithms. Here, we present COSINE, a conceptually new method designed specifically for aligning long reads contaminated by a high level of errors. COSINE computes the context similarity of two stretches of nucleobases given the similarity over distributions of their short k-mers (k = 3-4) along the sequences. The results on simulated and real data show that COSINE achieves high sensitivity and specificity under a wide range of read accuracies. When the error rate is high, COSINE can offer substantial advantages over existing alignment methods.

Indexed as

AlgorithmsSoftwareBase SequenceComputational BiologyHigh-Throughput Nucleotide SequencingReproducibility of ResultsSequence Alignment

Identifiers

PMID28586438
PMCPMC5737678

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.