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454 16S data from QIIME - what next?
Hi, totally new to this area, I've got some 454 16S data run through QIIME by another group, for diversity profiling. Data has been demultiplexed + assigned to taxomomic identities using GreenGenes 4/2/2011. I am installing QIIME on my computer so that I can get a better feel for how it works, but I wondered if anyone could point me in the direction of other tools I can use with this data in the meantime. Mainly I'd like to give some identity to all the bacteria that currently fall under "Other" and to produce some nice plots. Thanks for any help.
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Developments in sequencing technologies and methodologies have transformed the field of epigenetics, giving researchers a better way to understand the complex world of gene regulation and heritable modifications. This article explores some of the diverse sequencing methods employed in the study of epigenetics, ranging from classic techniques to cutting-edge innovations while providing a brief overview of their processes, applications, and advances.
Methylation Detect...05-31-2023, 10:46 AM -
Differential Expression and Data Visualization: Recommended Tools for Next-Level Sequencing Analysis
After covering QC and alignment tools in the first segment and variant analysis and genome assembly in the second segment, we’re wrapping up with a discussion about tools for differential gene expression analysis and data visualization. In this article, we include recommendations from the following experts: Dr. Mark Ziemann, Senior Lecturer in Biotechnology and Bioinformatics, Deakin University; Dr. Medhat Mahmoud Postdoctoral Research Fellow at Baylor College of Medicine;...05-23-2023, 12:26 PM -
Continuing from our previous article, we share variant analysis and genome assembly tools recommended by our experts Dr. Medhat Mahmoud, Postdoctoral Research Fellow at Baylor College of Medicine, and Dr. Ming "Tommy" Tang, Director of Computational Biology at Immunitas and author of From Cell Line to Command Line.
Variant detection and analysis tools
Mahmoud classifies variant detection work into two main groups: short variants (<50...05-19-2023, 10:03 AM