Javascript must be enabled to continue!
LSCplus: a fast solution for improving long read accuracy by short read alignment
View through CrossRef
Abstract
Background
The single molecule, real time (SMRT) sequencing technology of Pacific Biosciences enables the acquisition of transcripts from end to end due to its ability to produce extraordinarily long reads (>10 kb). This new method of transcriptome sequencing has been applied to several projects on humans and model organisms. However, the raw data from SMRT sequencing are of relatively low quality, with a random error rate of approximately 15 %, for which error correction using next-generation sequencing (NGS) short reads is typically necessary. Few tools have been designed that apply a hybrid sequencing approach that combines NGS and SMRT data, and the most popular existing tool for error correction, LSC, has computing resource requirements that are too intensive for most laboratory and research groups. These shortcomings severely limit the application of SMRT long reads for transcriptome analysis.
Results
Here, we report an improved tool (LSCplus) for error correction with the LSC program as a reference. LSCplus overcomes the disadvantage of LSC’s time consumption and improves quality. Only 1/3–1/4 of the time and 1/20–1/25 of the error correction time is required using LSCplus compared with that required for using LSC.
Conclusions
LSCplus is freely available at http://www.herbbol.org:8001/lscplus/. Sample calculations are provided illustrating the precision and efficiency of this method regarding error correction and isoform detection.
Title: LSCplus: a fast solution for improving long read accuracy by short read alignment
Description:
Abstract
Background
The single molecule, real time (SMRT) sequencing technology of Pacific Biosciences enables the acquisition of transcripts from end to end due to its ability to produce extraordinarily long reads (>10 kb).
This new method of transcriptome sequencing has been applied to several projects on humans and model organisms.
However, the raw data from SMRT sequencing are of relatively low quality, with a random error rate of approximately 15 %, for which error correction using next-generation sequencing (NGS) short reads is typically necessary.
Few tools have been designed that apply a hybrid sequencing approach that combines NGS and SMRT data, and the most popular existing tool for error correction, LSC, has computing resource requirements that are too intensive for most laboratory and research groups.
These shortcomings severely limit the application of SMRT long reads for transcriptome analysis.
Results
Here, we report an improved tool (LSCplus) for error correction with the LSC program as a reference.
LSCplus overcomes the disadvantage of LSC’s time consumption and improves quality.
Only 1/3–1/4 of the time and 1/20–1/25 of the error correction time is required using LSCplus compared with that required for using LSC.
Conclusions
LSCplus is freely available at http://www.
herbbol.
org:8001/lscplus/.
Sample calculations are provided illustrating the precision and efficiency of this method regarding error correction and isoform detection.
Related Results
The impact of environmental uncertainty on business–IT alignment: A study in Sri Lanka
The impact of environmental uncertainty on business–IT alignment: A study in Sri Lanka
<p>Despite the widely held belief that organisational performance can be enhanced through the alignment of information technology (IT) and business strategy, alignment remain...
Impact of personalized alignment technique on implant components position in total knee arthroplasty
Impact of personalized alignment technique on implant components position in total knee arthroplasty
Introduction Due to substantial rates of dissatisfaction in patients with mechanical alignment in total knee replacement, surgeons began searching for alternative techniques to imp...
[RETRACTED] Keanu Reeves CBD Gummies v1
[RETRACTED] Keanu Reeves CBD Gummies v1
[RETRACTED]Keanu Reeves CBD Gummies ==❱❱ Huge Discounts:[HURRY UP ] Absolute Keanu Reeves CBD Gummies (Available)Order Online Only!! ❰❰= https://www.facebook.com/Keanu-Reeves-CBD-G...
Exploring Strategies for Optimizing Mobilenetv2 Performance in Classification Tasks Through Transfer Learning and Hyperparameter Tuning with A Local Dataset from Kigezi, Uganda.
Exploring Strategies for Optimizing Mobilenetv2 Performance in Classification Tasks Through Transfer Learning and Hyperparameter Tuning with A Local Dataset from Kigezi, Uganda.
Abstract
Background
Deep learning has proved to very vital in numerous applications in recent years. However, the development of a model may require access to datasets. Trainin...
Ancestral sequence alignment under optimal conditions
Ancestral sequence alignment under optimal conditions
Abstract
Background
Multiple genome alignment is an important problem in bioinformatics. An important subproblem used by many multiple alignment app...
Fast Numerical Methods for Non-local Operators
Fast Numerical Methods for Non-local Operators
The fast numerical treatment of non-local operators is an important challenge in many fields of mathematics and its applications. This includes classical Fredholm integral operator...
Spectral Jaccard Similarity for long-read alignment
Spectral Jaccard Similarity for long-read alignment
A key step in genomic analysis pipelines is the identification of regions of similarity between pairs of DNA sequencing reads. This task, known as pairwise sequence alignment, is a...
Procedure for Western blot v1
Procedure for Western blot v1
Goal: This document has the objective of standardizing the protocol for Western blot. This technique allows the detection of specific proteins separated on polyacrylamide gel and t...

