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sepsis-omics.github.io - This is a tutorial for a workshop on long-read (PacBio) genome assembly. It demonstrates how to use long PacBio sequencing reads to assemble a bacterial genome, and includes additional steps for circularising, trimming, finding plasmids, and...

github.com - Flye is a de novo assembler for single molecule sequencing reads, such as those produced by PacBio and Oxford Nanopore Technologies. It is designed for a wide range of datasets, from small bacterial projects to large mammalian-scale assemblies. The...

github.com - MitoZ is a Python3-based toolkit which aims to automatically filter pair-end raw data (fastq files), assemble genome, search for mitogenome sequences from the genome assembly result, annotate mitogenome (genbank file as result), and mitogenome...

ArrayGen Technologies announces to provide online NGS training through out the globe. Now analyze your own NGS datasets from anywhere.For more information contact us at training@arraygen.com Please visit our site at www.arraygen.com

console.cloud.google.com - List of publically available databases on google server. More at https://software.broadinstitute.org/gatk/download/bundle ftp://ftp.ncbi.nlm.nih.gov/snp/organisms/human_9606/VCF/GATK/. ftp://ftp.broadinstitute.org/bundle/hg38/hg38bundle/

Interactive online R tutorial

ArrayGen is offering an Internship Program for Post graduate Bioinformatics / Biotechnology students and professionals. ArrayGen Technologies provide an excellent opportunity to gain research experience and explore if a scientific career is right...

There any many of the documents have been developed and tested by scientist around the world.

It is often necessary to import sample textbook data into R before you start working on your homework. Excel File Quite frequently, the sample data is in Excel format, and needs to be imported into R prior to use. For this, we can...

github.com - Other tools focus on getting data out of the fastq or fast5 files, which is slow and computationally intensive. The benefit of this approach is that it works on a single, small, .txt summary file. So it's a lot quicker than most other things out...