PeerJ · 2015 · 38 citations · 42 references
EngineeringBiomolecular ToolMolecular BiologyGenomicsHigh Throughput SequencingNucleic Acid BiomarkersOxford Nanopore MinionBioanalysisMolecular DiagnosticsError CorrectionCandidate Venom ToxinsDna SequencingBiomolecular AnalysisDna ReplicationFunctional GenomicsSequencingBioinformaticsBiologyLong-read SequencingPortable Dna SequencersNext-generation SequencingComputational BiologyNucleic Acid AmplificationMicrobiologyNanopore TechnologyMedicineGenome EditingNanoporesSequence Assembly
Portable DNA sequencers such as the Oxford Nanopore MinION device have the potential to be truly disruptive technologies, facilitating new approaches and analyses and, in some cases, taking sequencing out of the lab and into the field. However, the capabilities of these technologies are still being revealed. Here we show that single-molecule cDNA sequencing using the MinION accurately characterises venom toxin-encoding genes in the painted saw-scaled viper, Echis coloratus. We find the raw sequencing error rate to be around 12%, improved to 0-2% with hybrid error correction and 3% with de novo error correction. Our corrected data provides full coding sequences and 5' and 3' UTRs for 29 of 33 candidate venom toxins detected, far superior to Illumina data (13/40 complete) and Sanger-based ESTs (15/29). We suggest that, should the current pace of improvement continue, the MinION will become the default approach for cDNA sequencing in a variety of species.
42
Clustal W and Clustal X version 2.0
Mark Larkin, Gordon Blackshields, Nigel P. Brown et al. · Bioinformatics · 2007 · 28.7K citations · Full text
BLAST+: architecture and applications
Christiam Camacho, George Coulouris, Vahram Avagyan et al. · BMC Bioinformatics · 2009 · 21.8K citations · Full text
TopHat: discovering splice junctions with RNA-Seq
Cole Trapnell, Lior Pachter, Steven L. Salzberg · Bioinformatics · 2009 · 12K citations · Full text