The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
FastUniq: A Fast De Novo Duplicates Removal Tool for Paired Short Reads
Open accessAbstract
The presence of duplicates introduced by PCR amplification is a major issue in paired short reads from next-generation sequencing platforms. These duplicates might have a serious impact on research applications, such as scaffolding in whole-genome sequencing and discovering large-scale genome variations, and are usually removed. We present FastUniq as a fast de novo tool for removal of duplicates in paired short reads. FastUniq identifies duplicates by comparing sequences between read pairs and does not require complete genome sequences as prerequisites. FastUniq is capable of simultaneously handling reads with different lengths and results in highly efficient running time, which increases linearly at an average speed of 87 million reads per 10 minutes. FastUniq is freely available at http://sourceforge.net/projects/fastuniq/.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849
De novo assembly of human genomes with massively parallel short read sequencing
Li, R., Zhu, H., Ruan, J., Qian, W., Fang, X., Shi, Z., Li, Y., Li, S., Shan, G., Kristiansen, K., et al. (2010) · Genome Research · doi:10.1101/gr.097261.109 · Cited by 2,926 · cited 1×
“In general, a 64 GB memory is a minimum requirement for subsequent large-scale data analysis using popular tools such as Velvet [31], SOAPdenovo [32], ALLPATHS-LG [33] and so on.”
MethodThe sequence and de novo assembly of the giant panda genome
Li, R., Fan, W., Tian, G., Zhu, H., He, L., Cai, J., Huang, Q., Cai, Q., Li, B., Bai, Y., et al. (2010) · Nature · doi:10.1038/nature08696 · Cited by 1,180
Cited by
Conceição-Neto, N., Zeller, M., Lefrère, H., De Bruyn, P., Beller, L., Deboutte, W., Yinda, C. K., Lavigne, R., Maes, P., Ranst, M. V., et al. (2015) · Scientific Reports · doi:10.1038/srep16532 · Cited by 363
Developmental Acquisition of Regulomes Underlies Innate Lymphoid Cell Functionality
Shih, H.-Y., Sciumè, G., Mikami, Y., Guo, L., Sun, H.-W., Brooks, S. R., Urban, J. F., Davis, F. P., Kanno, Y., & O’Shea, J. J. (2016) · Cell · doi:10.1016/j.cell.2016.04.029 · Cited by 334
Neuropeptide CGRP Limits Group 2 Innate Lymphoid Cell Responses and Constrains Type 2 Inflammation
Nagashima, H., Mahlakõiv, T., Shih, H.-Y., Davis, F. P., Meylan, F., Huang, Y., Harrison, O. J., Yao, C., Mikami, Y., Urban, J. F., et al. (2019) · Immunity · doi:10.1016/j.immuni.2019.06.009 · Cited by 322
FoxO maintains a genuine muscle stem-cell quiescent state until geriatric age
García-Prat, L., Perdiguero, E., Alonso-Martín, S., Dell’Orso, S., Ravichandran, S., Brooks, S. R., Juan, A. H., Campanario, S., Jiang, K., Hong, X., et al. (2020) · Nature Cell Biology · doi:10.1038/s41556-020-00593-7 · Cited by 161
Cai, N., Gomez-Duran, A., Yonova-Doing, E., Kundu, K., Burgess, A. I., Golder, Z. J., Calabrese, C., Bonder, M. J., Camacho, M., Lawson, R. A., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01441-3 · Cited by 73
Metadata
- Authors
- Xu, H., Luo, X., Qian, J., Pang, X., Song, J., Qian, G., Chen, J., & Chen, S.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-12-20
- Volume
- 7
- Issue
- 12
- Pages
- e52249
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2086399100
- Cited by
- 619
- References
- 5
- FWCI
- 2.21
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: FastUniq: A Fast De Novo Duplicates Removal Tool for Paired Short Reads. https://app.cochat.ai/papers/10.1371/journal.pone.0052249
- The paper
- Xu, H., Luo, X., Qian, J., Pang, X., Song, J., Qian, G., Chen, J., & Chen, S. (2012). FastUniq: A Fast De Novo Duplicates Removal Tool for Paired Short Reads. PLoS ONE. https://doi.org/10.1371/journal.pone.0052249
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.