scholarly journals The Sequencing Quality Control 2 study: establishing community standards for sequencing in precision medicine

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Tim R. Mercer ◽  
Joshua Xu ◽  
Christopher E. Mason ◽  
Weida Tong ◽  
2017 ◽  
Author(s):  
Robert M. Waterhouse ◽  
Mathieu Seppey ◽  
Felipe A. Simão ◽  
Mosè Manni ◽  
Panagiotis Ioannidis ◽  
...  

ABSTRACTGenomics promises comprehensive surveying of genomes and metagenomes, but rapidly changing technologies and expanding data volumes make evaluation of completeness a challenging task. Technical sequencing quality metrics can be complemented by quantifying completeness in terms of the expected gene content of Benchmarking Universal Single-Copy Orthologs (BUSCO, http://busco.ezlab.org). Now in its third release, BUSCO utilities extend beyond quality control to applications in comparative genomics, gene predictor training, metagenomics, and phylogenomics.


2021 ◽  
Author(s):  
Jacquelina.Woods not provided

This method was developed at the FDA’s Center for Food Safety and Applied Nutrition for GenomeTrakr’s pandemic response project, monitoring SARS-CoV-2 variants in wastewater​​. Protocols developed for this project cover wastewater collection, concentration, RNA extraction, RT-qPCR detection, library prep, genome sequencing, quality control checks, and data submission to NCBI. This method provides a reagent formula required in the extraction of RNA from viral concentrates using the RNeasy and Zymo kits.


PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9762
Author(s):  
Andres Benavides ◽  
Friman Sanchez ◽  
Juan F. Alzate ◽  
Felipe Cabarcas

Background A prime objective in metagenomics is to classify DNA sequence fragments into taxonomic units. It usually requires several stages: read’s quality control, de novo assembly, contig annotation, gene prediction, etc. These stages need very efficient programs because of the number of reads from the projects. Furthermore, the complexity of metagenomes requires efficient and automatic tools that orchestrate the different stages. Method DATMA is a pipeline for fast metagenomic analysis that orchestrates the following: sequencing quality control, 16S rRNA-identification, reads binning, de novo assembly and evaluation, gene prediction, and taxonomic annotation. Its distributed computing model can use multiple computing resources to reduce the analysis time. Results We used a controlled experiment to show DATMA functionality. Two pre-annotated metagenomes to compare its accuracy and speed against other metagenomic frameworks. Then, with DATMA we recovered a draft genome of a novel Anaerolineaceae from a biosolid metagenome. Conclusions DATMA is a bioinformatics tool that automatically analyzes complex metagenomes. It is faster than similar tools and, in some cases, it can extract genomes that the other tools do not. DATMA is freely available at https://github.com/andvides/DATMA.


2021 ◽  
Author(s):  
Jacquelina.Woods not provided

This method was developed at the FDA’s Center for Food Safety and Applied Nutrition for GenomeTrakr’s pandemic response project, monitoring SARS-CoV-2 variants in wastewater​​. Protocols developed for this project cover wastewater collection, concentration, RNA extraction, RT-qPCR detection, library prep, genome sequencing, quality control checks, and data submission to NCBI. This method provides a reagent formula required in the rapid concentration of intact viruses from wastewater using a combination of PEG precipitation and ultracentrifugation.


2021 ◽  
Author(s):  
Jacquelina.Woods not provided

This method was developed at the FDA’s Center for Food Safety and Applied Nutrition for GenomeTrakr’s pandemic response project, monitoring SARS-CoV-2 variants in wastewater​​. Protocols developed for this project cover wastewater collection, concentration, RNA extraction, RT-qPCR detection, library prep, genome sequencing, quality control checks, and data submission to NCBI. This method provides a reagent formula required in the rapid concentration of intact viruses from wastewater using a combination of PEG precipitation and ultracentrifugation.


2021 ◽  
Author(s):  
Ruth E Timme ◽  
Maria Balkey

PURPOSE: This method was developed at the FDA’s Center for Food Safety and Applied Nutrition for GenomeTrakr’s pandemic response project, monitoring SARS-CoV-2 variants in wastewater; however, this protocol was written to be broadly applicable for all wastewater sequence data submissions to NCBI. Protocols developed for this project cover wastewater collection, concentration, RNA extraction, RT-qPCR, library prep, genome sequencing, quality control checks, and data submission to NCBI. This protocol covers the last step of making your data public at NCBI. Specifically, it provides the steps to establish a new NCBI submission environment for your laboratory, including the creation of new BioProject(s) and submission groups. Once these are step up, the protocol then walks through the process for submitting raw reads to SRA and sample metadata to BioSample through the Submission portal. For new submitters, there's quite a bit of groundwork that needs to be established before a laboratory can start its first data submission. We recommend that one person in the laboratory take a few days to get everything set up in advance of when you expect to do your first data submission. If you need a pipeline for frequent or large volume submissions, follow Step 1 in this protocol to get your NCBI submission environment established, then contact [email protected] to set up an account for submitting through the API. Version updates: V2: minor edits to the BioSample and SRA templates V3: Many minor edits were made to make the protocol more broadly applicable to submitters outside of FDA's wastewater project. Updates were also made to both metadata templates, including a new attribute to the SRA metadata template, called "enrichment_kit". There are now three custom attributes we recommend populating to more specifically capture relevant methods for ww sequencing: enrichment approach, primer set, and library prep kit.


2021 ◽  
Author(s):  
Jacquelina.Woods not provided

This method was developed at the FDA’s Center for Food Safety and Applied Nutrition for GenomeTrakr’s pandemic response project, monitoring SARS-CoV-2 variants in wastewater​​. Protocols developed for this project cover wastewater collection, concentration, RNA extraction, RT-qPCR detection, library prep, genome sequencing, quality control checks, and data submission to NCBI. This method provides a reagent formula required in the rapid concentration of intact viruses from wastewater using a combination of PEG precipitation and ultracentrifugation.


2011 ◽  
Vol 28 (4) ◽  
pp. 589-590 ◽  
Author(s):  
Evarist Planet ◽  
Camille Stephan-Otto Attolini ◽  
Oscar Reina ◽  
Oscar Flores ◽  
David Rossell

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