Tag: ONT

The Telomere-to-Telomere Consortium is sequencing whole chromosomes.Credit: Adrian T. Sumner/SPL From gene editing to protein-structure determination to quantum computing, here are seven technologies that are likely to have an impact on science in the year ahead. Fully finished genomes Roughly one-tenth of the human genome remained uncharted when genomics researchers…

The program align.py uses mappy to align reads in Python using multiple worker threads. After loading the index the memory usage jumps up quickly to >20Gb and then continues to climb steadily through 40Gb an beyond. This issue was first discovered in bonito and isolated to mappy. The data flow…

Samtools flagstat 1 I aligned my ONT sequencing run with minimap2, subsequently I filtered the file using samtools view -b -F 256 aln_transcriptome_sorted_6.bam -o filtered_aln_transcriptome_6.bam to end up with primary alignments only. When I run samtools flagstat on the filtered file I get the following output: 3502608 + 0 in…

BLEND is a mechanism that can efficiently find fuzzy seed matches between sequences to significantly improve the performance and accuracy while reducing the memory space usage of two important applications: 1) finding overlapping reads and 2) read mapping. Finding fuzzy seed matches enable BLEND to find both 1) exact-matching seeds…

ONT analysis on Ubuntu 0 Hello guys, I am new on bioinformatic analysis of data from ONT (MinION with FLOW-MIN106D). The lab sent me a collection of fast5 files I have to analyze to obtain the metagenomic details (viruses). I have the new machine with on board Ubuntu 21 (Nvidia…

TLDR: Thanks to funding from EOSC-Life, the Freiburg Galaxy team will work in 2022 with Biolytix, a Swiss Small and Medium-sized Enterprise (SME) specialized in molecular biology and microbiological analyses, toward Accessible and scalable detection and identification of foodborne pathogens. Background Food contaminations with pathogens are a major burden on…

What is the workshop about? The goal of this course is to provide an overview of in-field, real-time nanopore sequencing using the Oxford Nanopore Technologies (ONT) platform. This course will cover experimental considerations, sample collection and preparation theory, plus data analysis and visualisation. Hands-on opportunities for data analysis of metagenomic…

Team Lead Computational Biology in Immunology & Respiratory – Germany Do you have experience in leading a team of computational biologists in immunology & respiratory? If so, then we have the perfect opportunity for you! One of our most highly respected pharmaceutical clients is now looking for a team leader…

COVID-19 laboratory screening Nasopharyngeal/Nasal/Oropharyngeal swabs in viral transport medium (VTM) received from acute phase patients with defined symptoms, asymptomatic cases with contact history with positive patients/ travel history were processed for laboratory confirmation of SARS-CoV-2 at Defence Research and Development Establishment, (DRDE) Gwalior, M.P., India. These samples were referred for…

DNA sequencing has helped develop various sectors of the economy and mainly in the health sector. DNA sequencing has helped scientists understand the causes of related genetic disorders and how to cure them. DNA sequencing has also helped scientists understand the evolution of different animal species. What about developing GMOs?…

Stochastic Amplicon Ligation. DNA samples for oncology sequencing are typically extracted from FFPE tissues and can have average lengths of less than 500 nt due to accumulated chemical damage [18]. We developed the Stochastic Amplicon Ligation (SAL) method to enzymatically concatenate many short DNA molecules together to utilize the long-read…

I am trying to replicate the mergeByOverlap function from R BioConductor in python using the pyranges package. In R the code would be: gr.snp <- with(gr.snp, GRanges(chr, IRanges(start, end),rsid=gr.snp$rsid)) snp.annotated <- data.frame(mergeByOverlaps(gr.snp, gencode, maxgap=2000, type=”start”)) which returns: nrow(snp.annotated) [1] 34 colnames(snp.annotated) [1] “gr.snp.seqnames” “gr.snp.start” [3] “gr.snp.end” “gr.snp.width” [5] “gr.snp.strand” “gr.snp.rsid”…

Feasibility of genomic skimming on the ONT minION sequencer The term ’genomic skimming’ was first coined by in 2012 by Straub et al. (2012)20 as a way to utilize shallow sequencing of gDNA to obtain relatively deeper coverage of high-copy portions of the genome, including mitogenomes. In combining genomic skimming…

Team Lead Computational Biology in Immunology & Respiratory – Germany Do you have experience in leading a team of computational biologists in immunology & respiratory? If so, then we have the perfect opportunity for you! One of our most highly respected pharmaceutical clients is now looking for a team leader…

How to find the co ordinates of long reads (simulated by Badreads) with respect to the reference genome 0 Hi, I have simulated a set of ONT long reads (10x) of E coli using the Badreads simulator tool. I was wondering is there any way I can know the co…

MinION Data Examples (FAST5) Database 0 Hello everyone, I am constructing a pipeline to analyze Oxford Nanopore MinION data. I have start from FAST5 files and for some optimizations I will try multiple tools for each step. So I will need several datasets to try. As I see most of…