DNA Analysis Tool on Bioinformatics Applications

Sanger sequencing remains the cornerstone method for Deoxyribonucleic Acid (DNA) sequencing due to its high accuracy in targeting smaller genomic regions in a larger number of samples. The analysis of Sanger sequence DNA data requires powerful and intelligent software tools. Most of the preferred tools are proprietary licensed tools that offer a user-friendly interface and have many features, however, their affordability, especially to individual scientists or students, is limited. On the other hand, a few free and open-source licensed tools are available but have limited features. This study focuses on the usability testing of the developed Sanger Sequence Automatic Analysis Tool (SSAAT), a free and open-source web tool for Sanger sequence analysis. Usability tests were conducted with potential users and the results demonstrate that the participants were able to use the tool easily and accomplish the test tasks at the given time. Moreover, the participants were excited with the easy-to-use interface and agreed that most users could use the tool with no need for technical assistance. However, the participants also identified some issues that require more development effort.

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AQME: A forensic mitochondrial DNA analysis tool for next-generation sequencing data

Forensic Science International Genetics ◽

10.1016/j.fsigen.2017.09.010 ◽

2017 ◽

Vol 31 ◽

pp. 189-197 ◽

Cited By ~ 16

Author(s):

Kimberly Sturk-Andreaggi ◽

Michelle A. Peck ◽

Cecilie Boysen ◽

Patrick Dekker ◽

Timothy P. McMahon ◽

...

Keyword(s):

Mitochondrial Dna ◽

Next Generation Sequencing ◽

Dna Analysis ◽

Next Generation Sequencing Data ◽

Analysis Tool ◽

Next Generation ◽

Sequencing Data ◽

Mitochondrial Dna Analysis ◽

Generation Sequencing

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Ethnogeriatrics: Development and Application of the Cohort Analysis Tool

Perspectives on Communication Disorders and Sciences in Culturally and Linguistically Diverse Populations ◽

10.1044/cds21.2.37 ◽

2014 ◽

Vol 21 (2) ◽

pp. 37-52

Author(s):

Melen McBride

Keyword(s):

Healthcare Professionals ◽

Cohort Analysis ◽

Analysis Tool ◽

Speech Language Pathology ◽

Clinical Tool ◽

Research Activities ◽

Key Concepts ◽

Practice Teaching ◽

Language Pathology ◽

Significant Factors

Ethnogeriatrics is an evolving specialty in geriatric care that focuses on the health and aging issues in the context of culture for older adults from diverse ethnic backgrounds. This article is an introduction to ethnogeriatrics for healthcare professionals including speech-language pathologists (SLPs). This article focuses on significant factors that contributed to the development of ethnogeriatrics, definitions of some key concepts in ethnogeriatrics, introduces cohort analysis as a teaching and clinical tool, and presents applications for speech-language pathology with recommendations for use of cohort analysis in practice, teaching, and research activities.

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“I Can See What You’re Saying”: Clinical Utility of Spectral Moment Analysis

Perspectives on Speech Science and Orofacial Disorders ◽

10.1044/ssod21.2.44 ◽

2011 ◽

Vol 21 (2) ◽

pp. 44-54

Author(s):

Kerry Callahan Mandulak

Keyword(s):

Speech Production ◽

Speech Signal ◽

Clinical Utility ◽

Acoustic Analysis ◽

Moment Analysis ◽

Analysis Tool ◽

Spectral Moment ◽

Clinical Measure ◽

Perceptual Analysis ◽

Disordered Speech

Spectral moment analysis (SMA) is an acoustic analysis tool that shows promise for enhancing our understanding of normal and disordered speech production. It can augment auditory-perceptual analysis used to investigate differences across speakers and groups and can provide unique information regarding specific aspects of the speech signal. The purpose of this paper is to illustrate the utility of SMA as a clinical measure for both clinical speech production assessment and research applications documenting speech outcome measurements. Although acoustic analysis has become more readily available and accessible, clinicians need training with, and exposure to, acoustic analysis methods in order to integrate them into traditional methods used to assess speech production.

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