Evidence map›Paper›PMID 24109755›Full record

ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2013

Nucleotide sequence alignment using sparse coding and belief propagation.

Aminmohammad Roozgard, Nafise Barzigar, Shuang Wang, Xiaoqian Jiang, Lucila Ohno-Machado, Samuel Cheng

Abstract read
In one paragraph

Article in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Aminmohammad Roozgard
Nafise Barzigar
Shuang Wang
Xiaoqian Jiang
Lucila Ohno-Machado
Samuel Cheng

Funding

iDASH: Integrating Data for Analysis, Anonymization, and SharingU54HL108460 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI OHNO-MACHADO, LUCILA · 2010 to 2015
$19.1M
SCANNER: Scalable National Network for Effectiveness ResearchR01HS019913 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI OHNO-MACHADO, LUCILA · 2010 to 2010
$8.3M
Phenotype Discovery in NHLBI Genomic Studies (PhD)UH2HL108785 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI OHNO-MACHADO, LUCILA · 2011 to 2012
$1.1M
Protection of Records: Privacy (PReP) Technology for Medical ResearchK99LM011392 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JIANG, XIAOQIAN · 2012 to 2012
$76k
AHRQ HHS R01 HS019913AHRQ HHS R01HS019913NCATS NIH HHS UL1TR00010003NHLBI NIH HHS U54 HL108460NHLBI NIH HHS U54HL108460NHLBI NIH HHS UH2 HL108785NHLBI NIH HHS UH2HL108785NLM NIH HHS K99 LM011392NLM NIH HHS K99LM011392
6 · The paper itself

Abstract

Advances in DNA information extraction techniques have led to huge sequenced genomes from organisms spanning the tree of life. This increasing amount of genomic information requires tools for comparison of the nucleotide sequences. In this paper, we propose a novel nucleotide sequence alignment method based on sparse coding and belief propagation to compare the similarity of the nucleotide sequences. We used the neighbors of each nucleotide as features, and then we employed sparse coding to find a set of candidate nucleotides. To select optimum matches, belief propagation was subsequently applied to these candidate nucleotides. Experimental results show that the proposed approach is able to robustly align nucleotide sequences and is competitive to SOAPaligner [1] and BWA [2].

Indexed as

AlgorithmsBase SequenceChromosomes, HumanHumansSequence Alignment

Identifiers

PMID24109755
PMCPMC3909563

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.