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Schuurs–Hoeijmakers Syndrome (PACS1 Neurodevelopmental Disorder): Seven Novel Patients and a Review. Genes. 2021;12(5):738. doi:10.3390/genes12050738.
Schuurs–Hoeijmakers Syndrome (PACS1 Neurodevelopmental Disorder): Seven Novel Patients and a Review. Genes. 2021;12(5):738. doi:10.3390/genes12050738.
Schuurs–Hoeijmakers Syndrome (PACS1 Neurodevelopmental Disorder): Seven Novel Patients and a Review. Genes. 2021;12(5):738. doi:10.3390/genes12050738.
Schuurs–Hoeijmakers Syndrome (PACS1 Neurodevelopmental Disorder): Seven Novel Patients and a Review. Genes. 2021;12(5):738. doi:10.3390/genes12050738.
Screening of CD96 and ASXL1 in 11 patients with Opitz C or Bohring-Opitz syndromes. Am J Med Genet A. 2016;170A(1):24-31. doi:10.1002/ajmg.a.37418.
SIMAP–a comprehensive database of pre-calculated protein sequence similarities, domains, annotations and clusters. Nucleic acids research. 2010;38:D223-6.
SNP and haplotype mapping for genetic analysis in the rat. Nat Genet. 2008;40:560-6. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18443594.
SNP and haplotype mapping for genetic analysis in the rat. Nat Genet. 2008;40:560-6. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18443594.
SNP and haplotype mapping for genetic analysis in the rat. Nat Genet. 2008;40:560-6. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18443594.
SNP and haplotype mapping for genetic analysis in the rat. Nat Genet. 2008;40(5):560-6. doi:10.1038/ng.124.
SNP and haplotype mapping for genetic analysis in the rat. Nat Genet. 2008;40(5):560-6. doi:10.1038/ng.124.
SNP and haplotype mapping for genetic analysis in the rat. Nat Genet. 2008;40(5):560-6. doi:10.1038/ng.124.
Spatial differentiation in the vegetative mycelium of Aspergillus niger. Eukaryot Cell. 2007;6:2311-22. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=17951513.
Supervised Neural Networks For Clustering Conditions In DNA Array Data After Reducing Noise By Clustering Gene Expression Profiles. In: Microarray data analysis II. Microarray data analysis II. Kluwer Academic; 2002:91-103.
. . Transcriptional profiling of mRNA expression in the mouse distal colon. Gastroenterology. 2008;135:2019-29. Available at: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=18848557.
Transcriptome profiling of the intoxication response of Tenebrio molitor larvae to Bacillus thuringiensis Cry3Aa protoxin. PloS one. 2012;7:e34624. doi:10.1371/journal.pone.0034624.
Transparency and reproducibility in artificial intelligence. Nature. 2020;586(7829):E14-E16. doi:10.1038/s41586-020-2766-y.
Understanding disease mechanisms with models of signaling pathway activities. BMC systems biology. 2014;8:121. doi:10.1186/s12918-014-0121-3.
Understanding disease mechanisms with models of signaling pathway activities. BMC systems biology. 2014;8:121. doi:10.1186/s12918-014-0121-3.
Understanding disease mechanisms with models of signaling pathway activities. BMC systems biology. 2014;8:121. doi:10.1186/s12918-014-0121-3.
Using GPUs for the Exact Alignment of Short-read Genetic Sequences by Means of the Burrows–Wheeler Transform. IEEE/ACM transactions on computational biology and bioinformatics / IEEE, ACM. 2012;9:1245-1256. doi:10.1109/TCBB.2012.49.
Using GPUs for the Exact Alignment of Short-read Genetic Sequences by Means of the Burrows–Wheeler Transform. IEEE/ACM transactions on computational biology and bioinformatics / IEEE, ACM. 2012;9:1245-1256. doi:10.1109/TCBB.2012.49.
Using GPUs for the exact alignment of short-read genetic sequences by means of the Burrows-Wheeler transform. IEEE/ACM Trans Comput Biol Bioinform. 2012;9(4):1245-56. doi:10.1109/TCBB.2012.49.
Using GPUs for the Exact Alignment of Short-Read Genetic Sequences by Means of the Burrows-Wheeler Transform. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2012;9(4):1245 - 1256. doi:10.1109/TCBB.2012.49.