Tracy: basecalling, alignment, assembly and deconvolution of sanger chromatogram trace files
Open accessAbstract
Background: DNA sequencing is at the core of many molecular biology laboratories. Despite its long history, there is a lack of user-friendly Sanger sequencing data analysis tools that can be run interactively as a web application or at large-scale in batch from the command-line. Results: We present Tracy, an efficient and versatile command-line application that enables basecalling, alignment, assembly and deconvolution of sequencing chromatogram files. Its companion web applications make all functionality of Tracy easily accessible using standard web browser technologies and interactive graphical user interfaces. Tracy can be easily integrated in large-scale pipelines and high-throughput settings, and it uses state-of-the-art file formats such as JSON and BCF for reporting chromatogram sequencing results and variant calls. The software is open-source and freely available at https://github.com/gear-genomics/tracy, the companion web applications are hosted at https://www.gear-genomics.com. Conclusions: Tracy can be routinely applied in large-scale validation efforts conducted in clinical genomics studies as well as for high-throughput genome editing techniques that require a fast and rapid method to confirm discovered variants or engineered mutations. Molecular biologists benefit from the companion web applications that enable installation-free Sanger chromatogram analyses using intuitive, graphical user interfaces.
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72% of the hygromycin-resistant clones harbored the TP53W53* mutation.
“72% of the hygromycin-resistant clones harbored the mutation (Supplementary Fig. 2b, c)38.”
From One-step generation of tumor models by base editor multiplexing in adult stem cell-derived organoids (2023) · cites this paper as [38]
The Results passage lists clone-level examples used to assess Tracy’s performance, but gives no proportion of hygromycin-resistant clones with a TP53W53* mutation. Searches for the mutation and for hygromycin-resistant clones found no passage reporting the claimed 72%. (LLM, conf=0.78)
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Cites
Zischewski, J., Fischer, R., & Bortesi, L. (2017) · Biotechnology Advances · doi:10.1016/j.biotechadv.2016.12.003 · Cited by 323 · see citing works
Genome editing assessment using CRISPR Genome Analyzer (CRISPR-GA)
Güell, M., Yang, L., & Church, G. M. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu427 · Cited by 142 · see citing works
Flagged first, then by citations
Research works printed but not linked: 17
- [1]Shendure J Balasubramanian S Church GM Gilbert W Rogers J Schloss JA Waterston RH DNA sequencing at 40: past, present and future Nature 2017 550 7676 345 53 29019985
- [2]Sudmant PH Rausch T Gardner EJ Handsaker RE Abyzov A Huddleston J Zhang Y Ye K Jun G Fritz MH Konkel MK Malhotra A Stutz AM Shi X Casale FP Chen J Hormozdiari F Dayama G Chen K Malig M Chaisson MJP Walter K Meiers S Kashin S Garrison E Auton A Lam HYK Mu XJ Alkan C Antaki D Bae T Cerveira E Chines P Chong Z Clarke L Dal E Ding L Emery S Fan X Gujral M Kahveci F Kidd JM Kong Y Lameijer EW McCarthy S Flicek P Gibbs RA Marth G Mason CE Menelaou A Muzny DM Nelson BJ Noor A Parrish NF Pendleton M Quitadamo A Raeder B Schadt EE Romanovitch M Schlattl A Sebra R Shabalin AA Untergasser A Walker JA Wang M Yu F Zhang C Zhang J Zheng-Bradley X Zhou W Zichner T Sebat J Batzer MA McCarroll SA Mills RE Gerstein MB Bashir A Stegle O Devine SE Lee C Eichler EE Korbel JO An integrated map of structural variation in 2,504 human genomes Nature 2015 526 7571 75 81 26432246 PMC4617611
- [3]Rausch T Jones DT Zapatka M Stutz AM Zichner T Weischenfeldt J Jager N Remke M Shih D Northcott PA Pfaff E Tica J Wang Q Massimi L Witt H Bender S Pleier S Cin H Hawkins C Beck C von Deimling A Hans V Brors B Eils R Scheurlen W Blake J Benes V Kulozik AE Witt O Martin D Zhang C Porat R Merino DM Wasserman J Jabado N Fontebasso A Bullinger L Rucker FG Dohner K Dohner H Koster J Molenaar JJ Versteeg R Kool M Tabori U Malkin D Korshunov A Taylor MD Lichter P Pfister SM Korbel JO Genome sequencing of pediatric medulloblastoma links catastrophic DNA rearrangements with TP53 mutations Cell 2012 148 1-2 59 71 22265402 PMC3332216
- [4]Beck TF Mullikin JC Biesecker LG Systematic Evaluation of Sanger Validation of Next-Generation Sequencing Variants Clin Chem 2016 62 4 647 54 26847218 PMC4878677
- [5]Danecek P Auton A Abecasis G Albers CA Banks E DePristo MA Handsaker RE Lunter G Marth GT Sherry ST McVean G Durbin R Durbin R Altshuler D Abecasis G Bentley D Chakravarti A Clark A De La Vega F Donnelly P Dunn M Flicek P Gabriel S Green E Gibbs R Knoppers B Lander E Lehrach H Mardis E Marth G The variant call format and VCFtools Bioinformatics 2011 27 15 2156 8 21653522 PMC3137218
- [7]Brinkman EK Chen T Amendola M van Steensel B Easy quantitative assessment of genome editing by sequence trace decomposition Nucleic Acids Res 2014 42 22 168 PMC4267669 25300484
- [8]Hill JT Demarest BL Bisgrove BW Su YC Smith M Yost HJ Poly peak parser: Method and software for identification of unknown indels using sanger sequencing of polymerase chain reaction products Dev Dyn 2014 243 12 1632 6 25160973 PMC4525701
- [9]Dehairs J Talebi A Cherifi Y Swinnen JV CRISP-ID: decoding CRISPR mediated indels by Sanger sequencing Sci Rep 2016 6 28973 27363488 PMC4929496
- [11]Carr IM Camm N Taylor GR Charlton R Ellard S Sheridan EG Markham AF Bonthron DT GeneScreen: a program for high-throughput mutation detection in DNA sequence electropherograms J Med Genet 2011 48 2 123 30 21037276
- [12]Weckx S Del-Favero J Rademakers R Claes L Cruts M De Jonghe P Van Broeckhoven C De Rijk P novoSNP, a novel computational tool for sequence variation discovery Genome Res 2005 15 3 436 42 15741513 PMC551570
- [13]Treves DS Review of three DNA analysis applications for use in the microbiology or genetics classroom J Microbiol Biol Educ 2010 11 2 186 7 23653728 PMC3577175
- [14]Staden R The Staden sequence analysis package Mol Biotechnol 1996 5 3 233 41 8837029
- [15]Gordon D Viewing and editing assembled sequences using Consed Curr Protoc Bioinformatics 2003 Chapter 11 11 2 18428695
- [16]Gog S, Beller T, Moffat A, Petri M. From theory to practice: Plug and play with succinct data structures. In: 13th International Symposium on Experimental Algorithms, (SEA 2014): 2014. p. 326–37.
- [17]Li H Handsaker B Wysoker A Fennell T Ruan J Homer N Marth G Abecasis G Durbin R The Sequence Alignment/Map format and SAMtools Bioinformatics 2009 25 16 2078 9 19505943 PMC2723002
- [18]Rausch T Fritz MH Korbel JO Benes V Alfred: Interactive multi-sample BAM alignment statistics, feature counting and feature annotation for long- and short-read sequencing Bioinformatics 2019 35 14 2489 2491 30520945 PMC6612896
- [19]Rausch T Koren S Denisov G Weese D Emde AK Doring A Reinert K A consistency-based consensus algorithm for de novo and reference-guided sequence assembly of short reads Bioinformatics 2009 25 9 1118 24 19269990 PMC2732307
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Ebert, P., Audano, P. A., Zhu, Q., Rodriguez-Martin, B., Porubsky, D., Bonder, M. J., Sulovari, A., Ebler, J., Zhou, W., Serra Mari, R., et al. (2021) · Science · doi:10.1126/science.abf7117 · Cited by 702 · see citing works
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Motozono, C., Toyoda, M., Zahradnik, J., Saito, A., Nasser, H., Tan, T. S., Ngare, I., Kimura, I., Uriu, K., Kosugi, Y., et al. (2021) · Cell Host & Microbe · doi:10.1016/j.chom.2021.06.006 · Cited by 586 · see citing works
One-step generation of tumor models by base editor multiplexing in adult stem cell-derived organoids
Geurts, M. H., Gandhi, S., Boretto, M. G., Akkerman, N., Derks, L. L. M., van Son, G., Celotti, M., Harshuk-Shabso, S., Peci, F., Begthel, H., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-40701-3 · Cited by 66 · see citing works
- Authors
- Rausch, T., Fritz, M. H.-Y., Untergasser, A., & Benes, V.
- Affiliations
- European Molecular Biology Laboratory (DE)
- Heidelberg University (DE)
- Corresponding author
- Rausch, Tobias
- Venue
- BMC Genomics
- Published
- 2020-03-14
- Volume
- 21
- Issue
- 1
- Pages
- 230-230
- ISSN
- 1471-2164 (ISSN-L)
- PMC
- PMC7071639
- OpenAlex
- W3011793052
- Cited by
- 130
- References
- 2
- Citations by year
- 2026: 19 · 2025: 35 · 2024: 23 · 2023: 19 · 2022: 16 · 2021: 16 · 2020: 2
- FWCI
- 4.30
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- BMC Genomics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genetics, Bioinformatics, and Biomedical Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Keywords
- TRACY, Sanger sequencing, chromatogram alignment, variant calling
- MeSH terms
- Humans, Software, User-Computer Interface, Sequence Analysis, DNA, Computational Biology, High-Throughput Nucleotide Sequencing, Web Browser
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