Patterns of DNA sequence polymorphisms can be used to understand the processes of demography and adaptation within natural populations. High-throughput generation of DNA sequence data has historically been the bottleneck with respect to data processing and experimental inference. Advances in marker technologies have largely solved this problem. Currently, the limiting step is computational, with most molecular population genetic software allowing a gene-by-gene analysis through a graphical user interface. An easy-to-use analysis program that allows both high-throughput processing of multiple sequence alignments along with the flexibility to simulate data under complex demographic scenarios is currently lacking. We introduce a new program, named DnaSAM, which allows high-throughput estimation of DNA sequence diversity and neutrality statistics from experimental data along with the ability to test those statistics via Monte Carlo coalescent simulations. These simulations are conducted using the ms program, which is able to incorporate several genetic parameters (e.g. recombination) and demographic scenarios (e.g. population bottlenecks). The output is a set of diversity and neutrality statistics with associated probability values under a user-specified null model that are stored in easy to manipulate text file.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1111/j.1755-0998.2009.02768.x | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Optimization of the intron sequences combined with the CMV promoter increases recombinant protein expression in CHO cells.
Sci Rep
January 2025
International Joint Research Laboratory for Recombinant Pharmaceutical Protein Expression System of Henan, Xinxiang Medical University, Xinxiang, China.
To meet the requirements of the biopharmaceutical industry, improving the yield of recombination therapeutic protein (RTP) from Chinese hamster ovary (CHO) cells is necessary. The human cytomegalovirus (CMV) promoter is widely used for RTP expression in CHO cells. To further improve RTP production, we truncated the human CMV intron and further evaluated the effect of four synthetic introns, including ctEF-1α first, EF-1α first, chimeric, and β-globin introns combined with the CMV promoter on recombinant expression levels in transient and stably recombinant CHO cells.
View Article and Find Full Text PDFscATAC-seq generates more accurate and complete regulatory maps than bulk ATAC-seq.
Sci Rep
January 2025
MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 9DS, UK.
Bulk ATAC-seq assays have been used to map and profile the chromatin accessibility of regulatory elements such as enhancers, promoters, and insulators. This has provided great insight into the regulation of gene expression in many cell types in a variety of organisms. To date, ATAC-seq has most often been used to provide an average evaluation of chromatin accessibility in populations of cells.
View Article and Find Full Text PDFComprehensive computational analysis of differentially expressed miRNAs and their influence on transcriptomic signatures in prostate cancer.
Sci Rep
January 2025
Department of Pharmaceutics, College of Pharmacy, King Saud University, PO Box 2457, Riyadh, 11451, Saudi Arabia.
Prostate cancer presents a major health issue, with its progression influenced by intricate molecular factors. Notably, the interplay between miRNAs and changes in transcriptomic patterns is not fully understood. Our study seeks to bridge this knowledge gap, employing computational techniques to explore how miRNAs and transcriptomic alterations jointly regulate the development of prostate cancer.
View Article and Find Full Text PDFTERT-TP53 mutations: a novel biomarker pair for hepatocellular carcinoma recurrence and prognosis.
Sci Rep
January 2025
Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China.
Hepatocellular carcinoma (HCC) is the most prevalent form of liver cancer, and ranks among the most lethal malignancies globally, primarily due to its high rates of recurrence and metastasis. Despite the urgency, no reliable biomarkers currently exist for predicting tumor recurrence in HCC. Telomerase reverse transcriptase (TERT) promoter mutations (TERTpm) and cellular tumor antigen p53 mutations (TP53m) have been frequently documented in HCC, but their combined clinical significance remains undefined.
View Article and Find Full Text PDFFrom dual nucleic acid co-extraction to co-sequencing: A highly integrated next-generation forensic DNA and RNA sequencing experimental workflow.
Forensic Sci Int Genet
January 2025
Key Laboratory of Forensic Genetics of Ministry of Public Security, Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China; School of Forensic Medicine, Kunming Medical University, Kunming 650500, China. Electronic address:
DNA and RNA markers are significant in forensic practices, such as individual and body fluid identification. However, forensic DNA and RNA markers were separately analyzed in most forensic experiments, which resulted in large amounts of sample consumption, complex procedures, and weak inter-evidence correlation. While several integrated methods based on capillary electrophoresis and next-generation sequencing technologies were reported, integrated procedures were mostly on nucleic acid co-extraction, co-electrophoresis, or co-sequencing, and the number and type of markers co-tested were limited.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!