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Transcripome data analysis using CD-HITS
We have sequenced a transcriptome of a species who does not have a sequenced genome, using 454 and our initial goal is to find a set of ESTs that represent genes. The 454 reads were assembled using Newbler 2.5 and the initial assembly gave ~26000 isotigs and 18,000. Contigs. After talking to the several people, I used CD-Hits program to combine the isotigs, contigs and singltons that were not assembled. After combining these sequences, I got ~4000 isotigs, ~17,000 contigs and ~30, 000 Singlton that were not assembled. Is this the correct way to do this? I couldn’t find any publication that has mentioned this method.
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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