Cargando…

Reference-free SNP detection: dealing with the data deluge

Reference-free SNP detection, that is identifying SNPs between samples directly from comparison of primary sequencing data with other primary sequencing data and not to a pre-assembled reference genome is an emergent and potentially disruptive technology that is beginning to open up new vistas in va...

Descripción completa

Detalles Bibliográficos
Autores principales:	Leggett, Richard M, MacLean, Dan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2014
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4083407/ https://www.ncbi.nlm.nih.gov/pubmed/25056481 http://dx.doi.org/10.1186/1471-2164-15-S4-S10

Ejemplares similares

Dealing with the data deluge in high throughput screening
por: Skehan, Philip
Publicado: (2000)

After the deluge or never after the deluge
por: Legro, Richard S.
Publicado: (2021)

Device detected arrhythmias - Staying afloat in the data deluge
por: Agarwal, Girija, et al.
Publicado: (2019)

Health Data: Desert, Deluge, or Discovery?
por: Zelmer, Jennifer
Publicado: (2019)

CERN scientists confront data deluge
por: Johnston, H
Publicado: (1998)

CMS gears up for the LHC data deluge
Publicado: (2016)

The data deluge: can libraries cope with e-science ?
por: Marcum, Deanna B, et al.
Publicado: (2010)

Effect of the sequence data deluge on the performance of methods for detecting protein functional residues
por: Garrido-Martín, Diego, et al.
Publicado: (2018)

Big Data Challenges in the Era of Data Deluge (1/2)
por: Volvovski, Ilya
Publicado: (2015)

Big Data Challenges in the Era of Data Deluge (2/2)
por: Volvovski, Ilya
Publicado: (2015)

Genomic information infrastructure after the deluge
por: Parkhill, Julian, et al.
Publicado: (2010)

Solving the Problem: Genome Annotation Standards before the Data Deluge
por: Klimke, William, et al.
Publicado: (2011)

Can hypothesis‐driven research survive the sequence‐data deluge?
por: Sagoff, Mark
Publicado: (2019)

A Deluge of Data Shapes a New Era in Computing
Publicado: (2009)

A Deluge of Complex Repeats: The Solanum Genome
por: Mehra, Mrigaya, et al.
Publicado: (2015)

After me, the deluge: The intricacies of pulmonary surfactant
por: Kattner, Aila Akosua
Publicado: (2021)

Drought, Deluge and Declines: The Impact of Precipitation Extremes on Amphibians in a Changing Climate
por: Walls, Susan C., et al.
Publicado: (2013)

“Après Mois, Le Déluge”: Preparing for the Coming Data Flood in the MRI-Guided Radiotherapy Era
por: Kiser, Kendall J., et al.
Publicado: (2019)

Data deluge from remote monitoring of cardiac implantable electronic devices and importance of clinical stratification
por: Bawa, Danish, et al.
Publicado: (2023)

Mapping mutations in plant genomes with the user-friendly web application CandiSNP
por: Etherington, Graham J, et al.
Publicado: (2014)

Managing the data deluge: data-driven GO category assignment improves while complexity of functional annotation increases
por: Gobeill, Julien, et al.
Publicado: (2013)

Mapping Data to Deep Understanding: Making the Most of the Deluge of SARS-CoV-2 Genome Sequences
por: Sokhansanj, Bahrad A., et al.
Publicado: (2022)

Social media-based urban disaster recovery and resilience analysis of the Henan deluge
por: Shan, Siqing, et al.
Publicado: (2023)

Using False Discovery Rates to Benchmark SNP-callers in next-generation sequencing projects
por: Farrer, Rhys A., et al.
Publicado: (2013)

Tapping the Vast Potential of the Data Deluge in Small-scale Food-Animal Production Businesses: Challenges to Near Real-time Data Analysis and Interpretation
por: Vial, Flavie, et al.
Publicado: (2017)

R bioinformatics cookbook: use R and Bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis
por: MacLean, Dan
Publicado: (2019)

Dealing with data
por: Abha Eli Phoboo
Publicado: (2013)

Dealing with data
por: Lyon, Arthur L, et al.
Publicado: (1970)

Managing the deluge of newly discovered plant viruses and viroids: an optimized scientific and regulatory framework for their characterization and risk analysis
por: Fontdevila Pareta, Nuria, et al.
Publicado: (2023)

Dealing with missing outcome data in meta‐analysis
por: Mavridis, Dimitris, et al.
Publicado: (2019)

Identifying and Classifying Trait Linked Polymorphisms in Non-Reference Species by Walking Coloured de Bruijn Graphs
por: Leggett, Richard M., et al.
Publicado: (2013)

SNP‐HLA Reference Consortium (SHLARC): HLA and SNP data sharing for promoting MHC‐centric analyses in genomics
por: Vince, Nicolas, et al.
Publicado: (2020)

Label-Free Quantitation of Protein Modifications by Pseudo Selected Reaction Monitoring with Internal Reference Peptides
por: Sherrod, Stacy D., et al.
Publicado: (2012)

Reporting and dealing with missing quality of life data in RCTs: has the picture changed in the last decade?
por: Fielding, S., et al.
Publicado: (2016)

Lung Cancer Diagnosed Through Screening, Lung Nodule, and Neither Program: A Prospective Observational Study of the Detecting Early Lung Cancer (DELUGE) in the Mississippi Delta Cohort
por: Osarogiagbon, Raymond U., et al.
Publicado: (2022)

4Pipe4 – A 454 data analysis pipeline for SNP detection in datasets with no reference sequence or strain information
por: Pina-Martins, Francisco, et al.
Publicado: (2016)

Dealing with Big Data at CERN
por: Lo Presti, Giuseppe
Publicado: (2020)

Doxorubicin chemotherapy affects the intracellular and interstitial free amino acid pools in skeletal muscle
por: Fabris, Sergio, et al.
Publicado: (2018)

Problems in dealing with missing data and informative censoring in clinical trials
por: Shih, Weichung Joseph
Publicado: (2002)

Dealing with dimensionality: the application of machine learning to multi-omics data
por: Feldner-Busztin, Dylan, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_ht7fhd7slkm7b2ntt8ic3c94op