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Profil

Chaichoompu Kridsadakorn

See author's contact details
Main Referenced Co-authors
Tongsima, Sissades (26)
Van Steen, Kristel  (15)
Sakuntabhai, Anavaj (12)
Wangkumhang, Pongsakorn (11)
Shaw, Philip James (10)
Main Referenced Keywords
PCA (3); Humans (2); ipPCA (2); Polymorphism, Single Nucleotide (2); population clustering (2);
Main Referenced Unit & Research Centers
GIGA-Medical Genomics (1)
GIGA-R Medical Genomics (1)
GIGA‐R - Giga‐Research - ULiège (1)
Systems and Modeling Unit (1)
Systems and Modeling Unit, Montefiore Institute and Bioinformatics and Modeling, GIGA-R (1)
Main Referenced Disciplines
Life sciences: Multidisciplinary, general & others (30)
Engineering, computing & technology: Multidisciplinary, general & others (4)
Zoology (1)
Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others (1)
Social & behavioral sciences, psychology: Multidisciplinary, general & others (1)

Publications (total 37)

The most downloaded
82 downloads
Noël, G., Chaichoompu, K., Leclercq, G., Fabre, E., Gengler, N., Van Steen, K., & Francis, F. (15 November 2017). Human based genetic tools to refine genetic populations structure of honey bees (Apis mellifera ssp L.) (Hymenoptera: Apoidea: Apidae) colonies at regional scale [Paper presentation]. EUROPEAN PhD NETWORK "INSECT SCIENCE" VIII Annual Meeting. https://hdl.handle.net/2268/217110

The most cited

132 citations (OpenAlex)

Wangkumhang, P., Chaichoompu, K., Ngamphiw, C., Ruangrit, U., Chanprasert, J., Assawamakin, A., & Tongsima, S. (2007). WASP: a Web-based Allele-Specific PCR assay designing tool for detecting SNPs and mutations. BMC Genomics, 8, 275. doi:10.1186/1471-2164-8-275 https://hdl.handle.net/2268/162584

Chaichoompu, K., Wilantho, A., Wangkumhang, P., Tongsima, S., Cavadas, B., Pereira, L., & Van Steen, K. (2023). Fine-scale subpopulation detection via an SNP-based unsupervised method: A case study on the 1000 Genomes Project resources. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 28 (2023), 245 - 256. doi:10.1142/9789811270611_0023
Peer Reviewed verified by ORBi

Chaichoompu, K., Abegaz Yazew, F., Tongsima, S., Shaw, P. J., Sakuntabhai, A., Pereira, L., & Van Steen, K. (2019). IPCAPS: an R package for iterative pruning to capture population structure. Source Code for Biology and Medicine, 14. doi:10.1186/s13029-019-0072-6
Peer Reviewed verified by ORBi

Abegaz, F., Chaichoompu, K., Genin, E., Fardo, D. W., König, I. R., Mahachie John, J. M., & Van Steen, K. (2019). Principals about principal components in statistical genetics. Briefings in Bioinformatics. doi:10.1093/bib/bby081
Peer Reviewed verified by ORBi

Noël, G., Chaichoompu, K., Leclercq, G., Fabre, E., Gengler, N., Van Steen, K., & Francis, F. (15 November 2017). Human based genetic tools to refine genetic populations structure of honey bees (Apis mellifera ssp L.) (Hymenoptera: Apoidea: Apidae) colonies at regional scale [Paper presentation]. EUROPEAN PhD NETWORK "INSECT SCIENCE" VIII Annual Meeting.

Chaichoompu, K. (2017). Capturing fine-scale population structure towards molecular reclassification of patients [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/214935

Chaichoompu, K., Fentaw Abegaz, Y., Tongsima, S., Shaw, P. J., Sakuntabhai, A., Cavadas, B., Pereira, L., & Van Steen, K. (09 September 2017). Using IPCAPS to identify fine-scale population structure [Poster presentation]. The International Genetic Epidemiology Society 2017, Cambridge, United Kingdom.

Chaichoompu, K., Yazew, F. A., Tongsima, S., Shaw, P. J., Sakuntabhai, A., Pereira, L., & Van Steen, K. (10 July 2017). Determining fine population structure using iterative pruning [Poster presentation]. Drug Discovery & Therapy World Congress 2017, Boston, United States.

Chaichoompu, K., Yazew, F. A., Tongsima, S., Shaw, P. J., Sakuntabhai, A., Pereira, L., & Van Steen, K. (25 April 2017). Determining fine population structure using iterative pruning [Poster presentation]. BIT’s 2nd Annual International Congress of Genetics (ICG-2017), Xi'an, China.

Chaichoompu, K. (2017). Capturing (population) structure using SNPs and gene expression data [Paper presentation]. GIGA-BIOS, Liège, Belgium.

Chaichoompu, K., Yazew, F. A., Tongsima, S., Shaw, P. J., Sakuntabhai, A., & Van Steen, K. (01 February 2017). Using unsupervised clustering method and SNP-based information to identify fine-level population structure [Poster presentation]. GIGA DAY 2017, Liege, Belgium.

Chaichoompu, K., Tongsima, S., Shaw, P. J., Sakuntabhai, A., & Van Steen, K. (17 June 2016). Capturing fine-level structure using unsupervised clustering method with multiple data types [Poster presentation]. byteMAL (Bioinformatics for Young inTernational researchers) conference in Aachen, Aachen, Germany.

Chaichoompu, K. (31 May 2016). Capturing structure in IIBDGC samples [Paper presentation]. BIO3-Research Highlight, Liege, Belgium.

Chaichoompu, K., Tongsima, S., Shaw, P. J., Sakuntabhai, A., & Van Steen, K. (21 May 2016). A novel unsupervised clustering approach with multiple data types to reveal fine-level structure [Poster presentation]. the European Human Genetics Conference 2016 (ESHG 2016), Barcelona, Barcelona, Spain.

Chaichoompu, K., Tongsima, S., Shaw, P. J., Sakuntabhai, A., & Van Steen, K. (03 April 2016). Iterative pruning method of unsupervised clustering for categorical data [Poster presentation]. the 13th International Congress of Human Genetics (ICHG 2016), Kyoto, Japan.

Chaichoompu, K., Cleynen, I., Fouladi, R., Ellinghaus, D., Hübenthal, M., Van Steen, K., & on behalf of the International inflammatory bowel disease genetics consortium (IIBDGC). (03 October 2015). Detecting patient subgroups using reduced set of disease-related markers with iterative pruning Principal Component Analysis (ipPCA) [Poster presentation]. the 24th annual conference of the International Genetic Epidemiology Society (IGES 2015), Baltimore, Maryland, United States.

Chaichoompu, K. (02 December 2014). ipPCA clustering to find substructures in populations or patient collections [Paper presentation]. Biostatistics seminar in Hasselt, Hasselt, Belgium.

Chaichoompu, K., Fouladi, R., Wangkumhang, P., Wilantho, A., Chareanchim, W., Shaw, P. J., Tongsima, S., Sakuntabhai, A., & Van Steen, K. (26 November 2014). Combining Genotype with LD-based haplotype information as input for iterative pruning principal component analysis (ipPCA) to improve population clustering [Paper presentation]. Capita Selecta in Complex Disease Analysis conference and EU COST Pancreas annual meeting (CSCDA 2014), Liege, Belgium.

Chaichoompu, K., Fouladi, R., Wangkumhang, P., Wilantho, A., Chareanchim, W., Tongsima, S., Sakuntabhai, A., & Van Steen, K. (28 August 2014). Combining genotype with allelic association as input for iterative pruning principal component analysis (ipPCA) to resolve population substructures [Poster presentation]. The 23rd annual conference of the International Genetic Epidemiology Society (IGES 2014), Vienna, Austria.

Chaichoompu, K. (05 June 2014). Detecting population substructures [Paper presentation]. Bio3 Seminar, Liege, Belgium.

Chaichoompu, K., Fouladi, R., Wangkumhang, P., Wilantho, A., Chareanchim, W., Tongsima, S., Sakuntabhai, A., & Van Steen, K. (29 April 2014). LD-based haplotype encoding scheme with iterative pruning principal component analysis (ipPCA) to retrieve population substructures [Poster presentation]. The Human Genome Meeting (HGM 2014), Geneva, Switzerland.

Chaichoompu, K., Fouladi, R., Wangkumhang, P., Wilantho, A., Chareanchim, W., Tongsima, S., Sakuntabhai, A., & Van Steen, K. (01 April 2014). Haplotype information combined with iterative pruning PCA (ipPCA) to improve population clustering [Paper presentation]. The 42nd European Mathematical Genetics Meeting 2014, Colonge, Germany.

Piriyapongsa, J., Wangkumhang, P., Intarapanich, A., Assawamakin, A., Ngamphiw, C., Kulawonganunchai, S., Shaw, P. J., Chaichoompu, K., & Tongsima, S. (07 November 2013). A system to estimate predicted risk for severe beta-thalassemia/hemoglobin E from single nucleotide polymorphism interactions.

Assawamakin, A., Kulawonganunchai, S., Chaichoompu, K., Charoenchim, W., Wilantho, A., & Tongsima, S. (07 November 2013). A system for DNA mapping from pyrosequencer.

Assawamakin, A., Kulawonganunchai, S., Chaichoompu, K., Charoenchim, W., Wilantho, A., & Tongsima, S. (07 November 2013). An automatic system to detect DNA variation from terminator cycle sequencer.

Wangkumhang, P., Shaw, P. J., Chaichoompu, K., Ngamphiw, C., Assawamakin, A., Nuinoon, M., Sripichai, O., Svasti, S., Fucharoen, S., Praphanphoj, V., & Tongsima, S. (2013). Insight into the peopling of mainland southeast Asia from thai population genetic structure. PLoS ONE, 8 (11), 79522. doi:10.1371/journal.pone.0079522
Peer Reviewed verified by ORBi

Tongsima, S., Piriyapongsa, J., Wangkumhang, P., Intarapanich, A., Ngamphiw, C., Chaichoompu, K., & Ruengrit, U. (15 October 2012). A methodology to identify human populations using single nucleotide polymorphisms.

Chaichoompu, K., Ngamphiw, C., Piriyapongsa, J., Intarapanich, A., Wangkumhang, P., & Tongsima, S. (15 October 2012). A methodology to identify cattle breeds using single nucleotide polymorphisms.

Chaichoompu, K., Pongsakorn, W., Anunchai, A., & Sissades, T. (October 2012). Encoded haplotype data as input to ipPCA can better resolve population clustering [Poster presentation]. the 11th International Conference on Bioinformatics (InCoB2012), Bangkok, Thailand.

Assawamakin, A., Kulawonganunchai, S., Chaichoompu, K., Charoenchim, W., Wilantho, A., & Tongsima, S. (21 September 2012). A system to detect genes associated with genetic disorder using genome-wide single nucleotide polymorphism data.

Tongsima, S., Intarapanich, A., Chaichoompu, K., Assawamakin, A., Wattanathorn, J., Mansiri, S., Muchimapura, S., Boongvang, W., & Boongvang, P. (29 July 2010). A machine for haplotype inference from single nucleotide polymorphism data using expectation-maximization algorithm.

Wattanathorn, J., Mansiri, S., Muchimapura, S., Boongvang, W., Boongvang, P., Tongsima, S., Intarapanich, A., Chaichoompu, K., & Assawamakin, A. (29 July 2010). A machine for haplotype inference from single nucleotide polymorphism data using expectation-maximization algorithm.

Intarapanich, A., Shaw, P. J., Assawamakin, A., Wangkumhang, P., Ngamphiw, C., Chaichoompu, K., Piriyapongsa, J., & Tongsima, S. (2009). Iterative pruning PCA improves resolution of highly structured populations. BMC Bioinformatics, 10, 382. doi:10.1186/1471-2105-10-382
Peer Reviewed verified by ORBi

Chaichoompu, K., Kittitornkun, S., & Tongsima, S. (2007). Speedup bioinformatics applications on multicore-based processor using vectorizing and multithreading strategies. Bioinformation, 2 (5), 182-4.
Peer Reviewed verified by ORBi

Wangkumhang, P., Chaichoompu, K., Ngamphiw, C., Ruangrit, U., Chanprasert, J., Assawamakin, A., & Tongsima, S. (2007). WASP: a Web-based Allele-Specific PCR assay designing tool for detecting SNPs and mutations. BMC Genomics, 8, 275. doi:10.1186/1471-2164-8-275
Peer Reviewed verified by ORBi

Chaichoompu, K., & Kittitornkun, S. (2006). Multithreaded ClustalW with improved optimization for intel multi-core processor. In the International Symposium on Communications and Information Technologies, 2006 (ISCIT2006) (pp. 590-594). doi:10.1109/ISCIT.2006.340018
Peer reviewed

Chaichoompu, K., Kittitornkun, S., & Tongsima, S. (2006). MT-ClustalW: Multithreading multiple sequence alignment. In the 20th International Parallel and Distributed Processing Symposium, 2006 (IPDPS 2006). doi:10.1109/IPDPS.2006.1639537
Peer reviewed

Chaichoompu, K., Kittitornkun, S., & Tongsima, S. (2006). Performance comparison of Multifactor Dimensionality Reduction: JVM vs. Native code. In ITC-CSCC: International Technical Conference on Circuits Systems, Computers and Communications. 2006 (pp. 185-188).
Peer reviewed

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