Evidence map›Paper›PMID 24918764›Full record

ArticlePloS one2014

HIVE-hexagon: high-performance, parallelized sequence alignment for next-generation sequencing data analysis.

Luis Santana-Quintero, Hayley Dingerdissen, Jean Thierry-Mieg, Raja Mazumder, Vahan Simonyan

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  9. Bioinformatics tools developed to support BioCompute Objects.Database : the journal of biological databases and curation · 2021
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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.

Luis Santana-QuinteroCenter for Biologics Evaluation and Research, US Food and Drug Administration, Rockville, Maryland, United States of America.
Hayley DingerdissenCenter for Biologics Evaluation and Research, US Food and Drug Administration, Rockville, Maryland, United States of America; Department of Biochemistry and Molecular Biology, George Washington University Medical Center, Washington, DC, United States of America.
Jean Thierry-MiegNational Center for Biotechnology Information, U.S. National Library of Medicine, National Institutes of Health, Bethesda, Maryland, United States of America.
Raja MazumderDepartment of Biochemistry and Molecular Biology, George Washington University Medical Center, Washington, DC, United States of America.
Vahan SimonyanCenter for Biologics Evaluation and Research, US Food and Drug Administration, Rockville, Maryland, United States of America.

Funding

Intramural NIH HHS
6 · The paper itself

Abstract

unlabelledDue to the size of Next-Generation Sequencing data, the computational challenge of sequence alignment has been vast. Inexact alignments can take up to 90% of total CPU time in bioinformatics pipelines. High-performance Integrated Virtual Environment (HIVE), a cloud-based environment optimized for storage and analysis of extra-large data, presents an algorithmic solution: the HIVE-hexagon DNA sequence aligner. HIVE-hexagon implements novel approaches to exploit both characteristics of sequence space and CPU, RAM and Input/Output (I/O) architecture to quickly compute accurate alignments. Key components of HIVE-hexagon include non-redundification and sorting of sequences; floating diagonals of linearized dynamic programming matrices; and consideration of cross-similarity to minimize computations. AVAILABILITY: https://hive.biochemistry.gwu.edu/hive/

Indexed as

Sequence AlignmentGenomeSequence Analysis, DNA

Identifiers

PMID24918764
PMCPMC4053384

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.