Results 31 to 40 of about 884,746 (312)
Jabba: hybrid error correction for long sequencing reads using maximal exact matches [PDF]
Third generation sequencing platforms produce longer reads with higher error rates than second generation sequencing technologies. While the improved read length can provide useful information for downstream analysis, underlying algorithms are challenged
Audenaert, P. +4 more
core +1 more source
Computational methods for 16S metabarcoding studies using Nanopore sequencing data
Assessment of bacterial diversity through sequencing of 16S ribosomal RNA (16S rRNA) genes has been an approach widely used in environmental microbiology, particularly since the advent of high-throughput sequencing technologies.
Andres Santos +3 more
doaj +1 more source
Identification of double heterozygous -α4.2Ⅰ/-α4.2Ⅱ using third-generation sequencing
Objective The 4.2 kb deletion (-α4.2/) is a common a+-thalassemia with a carrier rate, followed by the South-East Asian deletion (–SEA) and the 3.7 kb deletion (-α3.7/). There are few reports about 4.2 kb deletion sub-types.
Liang Liang +5 more
doaj +1 more source
LongQC: A Quality Control Tool for Third Generation Sequencing Long Read Data
We propose LongQC as an easy and automated quality control tool for genomic datasets generated by third generation sequencing (TGS) technologies such as Oxford Nanopore technologies (ONT) and SMRT sequencing from Pacific Bioscience (PacBio).
Yoshinori Fukasawa +4 more
semanticscholar +1 more source
SMOOTH-seq: single-cell genome sequencing of human cells on a third-generation sequencing platform
There is no effective way to detect structure variations (SVs) and extra-chromosomal circular DNAs (ecDNAs) at single-cell whole-genome level. Here, we develop a novel third-generation sequencing platform-based single-cell whole-genome sequencing (scWGS)
Xiaoying Fan +7 more
semanticscholar +1 more source
Jabba: hybrid error correction for long sequencing reads [PDF]
Background: Third generation sequencing platforms produce longer reads with higher error rates than second generation technologies. While the improved read length can provide useful information for downstream analysis, underlying algorithms are ...
Audenaert, P. +6 more
core +3 more sources
Background Cancer cells often exhibit large‐scale genomic variations, such as circular extrachromosomal DNA (ecDNA) and structural variants (SVs), which have been highly correlated with the initiation and progression of cancer.
Lei Chang +7 more
semanticscholar +1 more source
Cheap third-generation sequencing [PDF]
By covalently attaching cyclodextrin to a hemolysin nanopore, researchers show single-molecule, label-free sequencing at very high accuracy.
openaire +1 more source
Assessing the Gene Content of the Megagenome: Sugar Pine (Pinus lambertiana). [PDF]
Sugar pine (Pinus lambertiana Douglas) is within the subgenus Strobus with an estimated genome size of 31 Gbp. Transcriptomic resources are of particular interest in conifers due to the challenges presented in their megagenomes for gene identification ...
Delfino-Mix, Annette +8 more
core +2 more sources
Since the exploration of sequencing began in 2005, third and next-generation sequencing (TGS and NGS) technologies have fundamentally changed metagenomics research.
İlayda Akaçin +3 more
semanticscholar +1 more source

