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ORCIDFernando Pardo-Manuel de Villena
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2020 – today
- 2021
[c11]Hang Su, Ziwei Chen, Maya L. Najarian, Martin T. Ferris, Fernando Pardo-Manuel de Villena, Leonard McMillan
:
A k-mer query tool for assessing population diversity in pangenomes. BCB 2021: 1:1-1:9
2010 – 2019
- 2019
- [c10]Anwica Kashfeen, Harper B. Fauni, Timothy A. Bell, Fernando Pardo-Manuel de Villena, Leonard McMillan:
ELITE: Efficiently Locating Insertions of Transposable Elements. BCB 2019: 183-189 - 2014
- [c9]Chen-Ping Fu, Fernando Pardo-Manuel de Villena, Leonard McMillan:
Quantitative trait loci mapping with microarray marker intensities. BCB 2014: 472-478 - 2013
- [j5]Zhaojun Zhang, Shunping Huang, Jack Wang, Xiang Zhang, Fernando Pardo-Manuel de Villena, Leonard McMillan, Wei Wang:
GeneScissors: a comprehensive approach to detecting and correcting spurious transcriptome inference owing to RNA-seq reads misalignment. Bioinform. 29(13): 291-299 (2013) - [c8]Catherine E. Welsh, Chen-Ping Fu, Fernando Pardo-Manuel de Villena, Leonard McMillan:
Fine-Scale Recombination Mapping of High-Throughput Sequence Data. BCB 2013: 585 - 2012
- [j4]Jeremy R. Wang, Fernando Pardo-Manuel de Villena, Leonard McMillan:
Comparative analysis and visualization of multiple collinear genomes. BMC Bioinform. 13(S-3): S13 (2012) - [c7]Chen-Ping Fu, Catherine E. Welsh, Fernando Pardo-Manuel de Villena, Leonard McMillan:
Inferring ancestry in admixed populations using microarray probe intensities. BCB 2012: 105-112 - 2011
- [c6]Jeremy W. Wang, Fernando Pardo-Manuel de Villena, Leonard McMillan:
Dynamic visualization and comparative analysis of multiple collinear genomic data. BCB 2011: 335-339 - 2010
- [j3]Lucie N. Hutchins, Yueming Ding, Jin P. Szatkiewicz, Randy von Smith, Hyuna Yang, Fernando Pardo-Manuel de Villena, Gary A. Churchill, Joel H. Graber:
CGDSNPdb: a database resource for error-checked and imputed mouse SNPs. Database J. Biol. Databases Curation 2010 (2010) - [j2]Eric Yi Liu, Qi Zhang, Leonard McMillan, Fernando Pardo-Manuel de Villena, Wei Wang:
Efficient genome ancestry inference in complex pedigrees with inbreeding. Bioinform. 26(12): 199-207 (2010) - [c5]Jeremy W. Wang, Kyle J. Moore, Qi Zhang, Fernando Pardo-Manuel de Villena, Wei Wang, Leonard McMillan:
Genome-wide compatible SNP intervals and their properties. BCB 2010: 43-52
2000 – 2009
- 2009
- [c4]Qi Zhang, Wei Wang, Leonard McMillan, Fernando Pardo-Manuel de Villena, David Threadgill:
Inferring Genome-Wide Mosaic Structure. Pacific Symposium on Biocomputing 2009: 150-161 - [c3]Feng Pan, Leonard McMillan, Fernando Pardo-Manuel de Villena, David Threadgill, Wei Wang:
TreeQA: Quantitative Genome Wide Association Mapping Using Local Perfect Phylogeny Trees. Pacific Symposium on Biocomputing 2009: 415-426 - 2008
- [c2]Feng Pan, Lynda Yang, Leonard McMillan, Fernando Pardo-Manuel de Villena, David Threadgill, Wei Wang:
Quantitative Association Analysis Using Tree Hierarchies. ICDM 2008: 971-976 - [c1]Qi Zhang, Wei Wang, Leonard McMillan, Jan F. Prins, Fernando Pardo-Manuel de Villena, David Threadgill:
Genotype Sequence Segmentation: Handling Constraints and Noise. WABI 2008: 271-283 - [p1]Wei Wang, Leonard McMillan, David Threadgill, Fernando Pardo-Manuel de Villena:
Efficient Data-Mining Methods Enabling Genome-Wide Computing. Next Generation of Data Mining 2008 - 2007
- [j1]Fred A. Wright, Hanwen Huang, Xiaojun Guan, Kevin Gamiel, Clark D. Jeffries, William T. Barry, Fernando Pardo-Manuel de Villena, Patrick F. Sullivan, Kirk C. Wilhelmsen, Fei Zou:
Simulating association studies: a data-based resampling method for candidate regions or whole genome scans. Bioinform. 23(19): 2581-2588 (2007)
Coauthor Index
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