TraceTrack, an open-source software for batch processing, alignment and visualization of sanger sequencing chromatograms

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22310%2F23%3A43928168" target="_blank" >RIV/60461373:22310/23:43928168 - isvavai.cz</a>

Result on the web

<a href="https://academic.oup.com/bioinformaticsadvances/article/3/1/vbad083/7223254" target="_blank" >https://academic.oup.com/bioinformaticsadvances/article/3/1/vbad083/7223254</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1093/bioadv/vbad083" target="_blank" >10.1093/bioadv/vbad083</a>

Result language

angličtina

Original language name

TraceTrack, an open-source software for batch processing, alignment and visualization of sanger sequencing chromatograms

Original language description

Motivation: Despite the advent of next-generation sequencing technology and its widespread applications, Sanger sequencing remains instrumental for molecular biology subcloning work in biological and medical research and indispensable for drug discovery campaigns. Although Sanger sequencing technology has been long established, existing software for processing and visualization of trace file chromatograms is limited in terms of functionality, scalability and availability for commercial use. Results: To fill this gap, we developed TraceTrack, an open-source web application tool for batch alignment, analysis and visualization of Sanger trace files. TraceTrack offers high-throughput matching of trace files to reference sequences, rapid identification of mutations and an intuitive chromatogram analysis. Comparative analysis between TraceTrack and existing software tools highlights the advantages of TraceTrack with regards to batch processing, visualization and export functionalities. Availability and implementation: TraceTrack is available at https://github.com/MSDLLCpapers/TraceTrack and as a web application at https:// tracetrack.dichlab.org. TraceTrack is a web application for batch processing and visualization of Sanger trace file chromatograms that meets the increasing demand of industrial sequence validation workflows in pharmaceutical settings. © The Author(s) 2023. Published by Oxford University Press.

Czech name

—

Czech description

—

Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

—

OECD FORD branch

10602 - Biology (theoretical, mathematical, thermal, cryobiology, biological rhythm), Evolutionary biology

Project

—

Continuities

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Bioinformatics Advances

ISSN

2635-0041

e-ISSN

—

Volume of the periodical

3

Issue of the periodical within the volume

1

Country of publishing house

GB - UNITED KINGDOM

Number of pages

5

Pages from-to

—

UT code for WoS article

—

EID of the result in the Scopus database

2-s2.0-85166422441