Literature DB >> 27158917

Interactive Exploration, Analysis, and Visualization of Complex Phenome-Genome Datasets with ASPIREdb.

Powell Patrick Cheng Tan1, Sanja Rogic1, Anton Zoubarev1, Cameron McDonald1, Frances Lui1, Gayathiri Charathsandran1, Matthew Jacobson1, Manuel Belmadani1, Justin Leong1, Thea Van Rossum1, Elodie Portales-Casamar1, Ying Qiao2,3, Kristina Calli3, Xudong Liu4,5, Melissa Hudson4, Evica Rajcan-Separovic2, Me Suzanne Lewis3, Paul Pavlidis1.   

Abstract

Identifying variants causal for complex genetic disorders is challenging. With the advent of whole-exome and whole-genome sequencing, computational tools are needed to explore and analyze the list of variants for further validation. Correlating genetic variants with subject phenotype is crucial for the interpretation of the disease-causing mutations. Often such work is done by teams of researchers who need to share information and coordinate activities. To this end, we have developed a powerful, easy to use Web application, ASPIREdb, which allows researchers to search, organize, analyze, and visualize variants and phenotypes associated with a set of human subjects. Investigators can annotate variants using publicly available reference databases and build powerful queries to identify subjects or variants of interest. Functional information and phenotypic associations of these genes are made accessible as well. Burden analysis and additional reporting tools allow investigation of variant properties and phenotype characteristics. Projects can be shared, allowing researchers to work collaboratively to build queries and annotate the data. We demonstrate ASPIREdb's functionality using publicly available data sets, showing how the software can be used to accomplish goals that might otherwise require specialized bioinformatics expertise. ASPIREdb is available at http://aspiredb.chibi.ubc.ca.
© 2016 WILEY PERIODICALS, INC.

Entities:  

Keywords:  WES; WGS; computational biology; genotype-phenotype; visualization; whole-exome sequencing; whole-genome sequencing

Mesh:

Year:  2016        PMID: 27158917      PMCID: PMC4940263          DOI: 10.1002/humu.23011

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  29 in total

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Journal:  Nat Protoc       Date:  2010-06-03       Impact factor: 13.491

2.  De novo mutations revealed by whole-exome sequencing are strongly associated with autism.

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Journal:  Nature       Date:  2012-04-04       Impact factor: 49.962

3.  Face-brain asymmetry in autism spectrum disorders.

Authors:  P Hammond; C Forster-Gibson; A E Chudley; J E Allanson; T J Hutton; S A Farrell; J McKenzie; J J A Holden; M E S Lewis
Journal:  Mol Psychiatry       Date:  2008-03-04       Impact factor: 15.992

4.  Neurocarta: aggregating and sharing disease-gene relations for the neurosciences.

Authors:  Elodie Portales-Casamar; Carolyn Ch'ng; Frances Lui; Nicolas St-Georges; Anton Zoubarev; Artemis Y Lai; Mark Lee; Cathy Kwok; Willie Kwok; Luchia Tseng; Paul Pavlidis
Journal:  BMC Genomics       Date:  2013-02-26       Impact factor: 3.969

5.  GEMINI: integrative exploration of genetic variation and genome annotations.

Authors:  Umadevi Paila; Brad A Chapman; Rory Kirchner; Aaron R Quinlan
Journal:  PLoS Comput Biol       Date:  2013-07-18       Impact factor: 4.475

6.  VariantDB: a flexible annotation and filtering portal for next generation sequencing data.

Authors:  Geert Vandeweyer; Lut Van Laer; Bart Loeys; Tim Van den Bulcke; R Frank Kooy
Journal:  Genome Med       Date:  2014-10-02       Impact factor: 11.117

7.  Clinical significance of de novo and inherited copy-number variation.

Authors:  Anneke T Vulto-van Silfhout; Jayne Y Hehir-Kwa; Bregje W M van Bon; Janneke H M Schuurs-Hoeijmakers; Stephen Meader; Claudia J M Hellebrekers; Ilse J M Thoonen; Arjan P M de Brouwer; Han G Brunner; Caleb Webber; Rolph Pfundt; Nicole de Leeuw; Bert B A de Vries
Journal:  Hum Mutat       Date:  2013-10-10       Impact factor: 4.878

8.  BioMart--biological queries made easy.

Authors:  Damian Smedley; Syed Haider; Benoit Ballester; Richard Holland; Darin London; Gudmundur Thorisson; Arek Kasprzyk
Journal:  BMC Genomics       Date:  2009-01-14       Impact factor: 3.969

9.  ClinVar: public archive of relationships among sequence variation and human phenotype.

Authors:  Melissa J Landrum; Jennifer M Lee; George R Riley; Wonhee Jang; Wendy S Rubinstein; Deanna M Church; Donna R Maglott
Journal:  Nucleic Acids Res       Date:  2013-11-14       Impact factor: 16.971

10.  Refining analyses of copy number variation identifies specific genes associated with developmental delay.

Authors:  Bradley P Coe; Kali Witherspoon; Jill A Rosenfeld; Bregje W M van Bon; Anneke T Vulto-van Silfhout; Paolo Bosco; Kathryn L Friend; Carl Baker; Serafino Buono; Lisenka E L M Vissers; Janneke H Schuurs-Hoeijmakers; Alex Hoischen; Rolph Pfundt; Nik Krumm; Gemma L Carvill; Deana Li; David Amaral; Natasha Brown; Paul J Lockhart; Ingrid E Scheffer; Antonino Alberti; Marie Shaw; Rosa Pettinato; Raymond Tervo; Nicole de Leeuw; Margot R F Reijnders; Beth S Torchia; Hilde Peeters; Brian J O'Roak; Marco Fichera; Jayne Y Hehir-Kwa; Jay Shendure; Heather C Mefford; Eric Haan; Jozef Gécz; Bert B A de Vries; Corrado Romano; Evan E Eichler
Journal:  Nat Genet       Date:  2014-09-14       Impact factor: 38.330

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  1 in total

1.  PathOS: a decision support system for reporting high throughput sequencing of cancers in clinical diagnostic laboratories.

Authors:  Kenneth D Doig; Andrew Fellowes; Anthony H Bell; Andrei Seleznev; David Ma; Jason Ellul; Jason Li; Maria A Doyle; Ella R Thompson; Amit Kumar; Luis Lara; Ravikiran Vedururu; Gareth Reid; Thomas Conway; Anthony T Papenfuss; Stephen B Fox
Journal:  Genome Med       Date:  2017-04-24       Impact factor: 11.117

  1 in total

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