Evidence map›Paper›PMID 26381817›Full record

ArticleScientific reports2015

SeqMule: automated pipeline for analysis of human exome/genome sequencing data.

Yunfei Guo, Xiaolei Ding, Yufeng Shen, Gholson J Lyon, Kai Wang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
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

43 citing papers in PubMed, 80 citations in OpenAlex.

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  12. Resources and tools for rare disease variant interpretation.Frontiers in molecular biosciences · 2023
    Review
  13. Article
  14. Phenotypic Heterogeneity amongBiomedicines · 2022
    Article
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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 at 4 institutions in 2 countries.

Yunfei GuoZilkha Neurogenetic Institute, University of Southern California, Los Angeles, CA 90033, USA.
Xiaolei DingSchool of Forestry and Environment, Nanjing Forestry University, Nanjing, Jiangsu 210037, China.
Yufeng ShenDepartments of Systems Biology and Biomedical Informatics, Columbia University, New York, NY 10032, USA.
Gholson J LyonStanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, New York, NY 11797, USA.
Kai WangZilkha Neurogenetic Institute, University of Southern California, Los Angeles, CA 90033, USA.
University of Southern California · USColumbia University · USFoundation for Biomedical Research · USNanjing Forestry University · CN

Funding

Integrated variation detection annotation and analysis for high-throughout sequeR01HG006465 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI WANG, KAI · 2012 to 2016
$1.8M
NHGRI NIH HHS HG006465NHGRI NIH HHS R01 HG006465
6 · The paper itself

Abstract

Next-generation sequencing (NGS) technology has greatly helped us identify disease-contributory variants for Mendelian diseases. However, users are often faced with issues such as software compatibility, complicated configuration, and no access to high-performance computing facility. Discrepancies exist among aligners and variant callers. We developed a computational pipeline, SeqMule, to perform automated variant calling from NGS data on human genomes and exomes. SeqMule integrates computational-cluster-free parallelization capability built on top of the variant callers, and facilitates normalization/intersection of variant calls to generate consensus set with high confidence. SeqMule integrates 5 alignment tools, 5 variant calling algorithms and accepts various combinations all by one-line command, therefore allowing highly flexible yet fully automated variant calling. In a modern machine (2 Intel Xeon X5650 CPUs, 48 GB memory), when fast turn-around is needed, SeqMule generates annotated VCF files in a day from a 30X whole-genome sequencing data set; when more accurate calling is needed, SeqMule generates consensus call set that improves over single callers, as measured by both Mendelian error rate and consistency. SeqMule supports Sun Grid Engine for parallel processing, offers turn-key solution for deployment on Amazon Web Services, allows quality check, Mendelian error check, consistency evaluation, HTML-based reports. SeqMule is available at http://seqmule.openbioinformatics.org.

Indexed as

ExomeGenome, HumanHigh-Throughput Nucleotide SequencingSoftwareComputational BiologyGenomicsHumansReproducibility of Results

Identifiers

PMID26381817
PMCPMC4585643
OpenAlexW2173033037

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.