Sequence entire genomes with uniform coverage
Most sequencing technologies suffer from coverage bias, which causes difficulties in sequencing AT-rich or GC-rich DNA regions, highly repetitive sequences, long homopolymers, and palindromic sequences. This can often lead to incomplete genome coverage, with as much as 15% of the genome missing from the final results.
Single Molecule, Real-Time (SMRT) Sequencing does not require an amplification step, leading to uniform coverage across all genomes. This allows you to sequence through palindromes and low-diversity regions of the genome. These long reads also allow for the spanning of complex regions.
PacBio long-read sequencing offers uniform mean sequencing coverage even through high GC content regions of the genome
Data generated with a 40 kb human library on a Sequel System using 2.1 chemistry and
SMRT Analysis v 5.1
Contact us for more information about incorporating SMRT Sequencing into your research efforts.
- Pootakham, Wirulda et al. (2017) High resolution profiling of coral-associated bacterial communities using full-length 16S rRNA sequence data from PacBio SMRT sequencing system. Scientific Reports
- Elghraoui, Afif et al. (2017) SMRT genome assembly corrects reference errors, resolving the genetic basis of virulence in Mycobacterium tuberculosis. BMC Genomics
- Vembar, Shruthi Sridhar et al. (2016) Complete telomere-to-telomere de novo assembly of the Plasmodium falciparum genome through long-read (>11?kb), single molecule, real-time sequencing. DNA Research
- Chaisson, Mark J P et al. (2015) Genetic variation and the de novo assembly of human genomes. Nature Reviews. Genetics
- Koren, Sergey et al. (2015) One chromosome, one contig: complete microbial genomes from long-read sequencing and assembly. Current Opinion in Microbiology
- Chaisson, Mark J P et al. (2015) Resolving the complexity of the human genome using single-molecule sequencing. Nature
- Chin, Chen-Shan et al. (2013) Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data. Nature Methods
- Ross, Michael G et al. (2013) Characterizing and measuring bias in sequence data. Genome Biology
- Korlach, Jonas et al. (2014) Returning to more finished genomes Genomics Data
- Korlach, Jonas (2017) Webinar: Addressing “NGS Dead Zones” with third generation PacBio sequencing
- Turner, Stephen (2017) Webinar: An introduction to PacBio’s long-read sequencing & how it has been used to make important scientific discoveries
- Ameur, Adam (2017) AGBT Virtual Poster: Analysis method for amplification-free SMRT sequencing and assessment on repeat expansions in Huntington’s disease
- Ashley, Euan (2016) ASHG PacBio Workshop: Towards precision medicine
- Ashley, Euan (2016) AGBT Roche and PacBio Workshop: Towards precision medicine
- Gyllensten, Ulf (2015) AGBT Virtual Poster: Clinical sequencing using Pacific Biosciences RS II for HLA typing and monitoring of drug resistance in chronic myeloid leukemia (CML)
- Korlach, Jonas (2016) Podcast: A home run on the first hit – PacBio’s Jonas Korlach
- Korlach, Jonas (2014) Webinar: Gain new insights in genome and transcriptome research with >10,000 bp reads