Results for "Error"
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How to resolve this NanoPlot error NanoImportError: No module named concurrent.futures
NanoPlot []Traceback (most recent call last): File "/usr/local/bin/NanoPlot", line 7, in <module> from nanoplot.NanoPlot import main File "/usr/local/lib/python2.7/dist-packages/nanoplot/NanoPlot.py", line 18, in <module> from nanoget import get_input File "/usr/local/lib/python2.7/di...Tags: NanoPlot, Error
2346 days ago
Oxford Nanopore Sequencing, Hybrid Error Correction, and de novo Assembly of a Eukaryotic Genome
Monitoring the progress of DNA molecules through a membrane pore has been postulated as a method for sequencing DNA for several decades. Recently, a nanopore-based sequencing instrument, the Oxford Nanopore MinION, has become available that we used for sequencing the S. cerevisiae genome. To make...Tags: Oxford, Nanopore, Sequencing, Hybrid, Error, Correction, de novo, Assembly, Eukaryotic, Genome
2340 days ago
Jabba: Hybrid Error Correction for Long Sequencing Reads
Jabba is a hybrid error correction tool to correct third generation (PacBio / ONT) sequencing data, using second generation (Illumina) data. Input Jabba takes as input a concatenated de Bruijn graph and a set of sequences: the de Bruijn graph should appear in fasta format with 1 entry per node...Tags: Jabba, Hybrid, Error, Correction, Long, Sequencing, Reads
1973 days ago
AfterQC: Automatic Filtering, Trimming, Error Removing and Quality Control for fastq data
Automatic Filtering, Trimming, Error Removing and Quality Control for fastq data AfterQC can simply go through all fastq files in a folder and then output three folders: good, bad and QC folders, which contains good reads, bad reads and the QC results of each fastq file/pair. Currently it suppo...Tags: Automatic, Filtering, Trimming, Error, Removing, Quality, Control, fastq, data
2128 days ago
HECIL: A Hybrid Error Correction Algorithm for Long Reads with Iterative Learning
HECIL—Hybrid Error Correction with Iterative Learning—a hybrid error correction framework that determines a correction policy for erroneous long reads, based on optimal combinations of decision weights obtained from short read alignments. HECIL’s core algorithm by introdu...Tags: HECIL, Hybrid, Error, Correction, Algorithm, Long, Reads, Iterative, Learning, longreads
1942 days ago
