Metabolic Control over mTOR-Dependent Diapause-like State
Developmental Cell 52:2, 2020.
, Associating transcription factors and conserved RNA structures with gene regulation in the human brain.
,Isolator: accurate and stable analysis of isoform-level expression in RNA-Seq experiments
RNA Sequence, Structure and Function: Computational and Bioinformatic Methods
Methods in Molecular Biology, Humana Press:1097, 2014.
, (Springer Protocols)
A Microbial Profiling Method for the Human Microbiota Using High-Throughput Sequencing
Metagenomics 2, 2013.
, Accelerating ncRNA homology search with FPGAs
the ACM/SIGDA international symposiumProceedings of the ACM/SIGDA international symposium on Field programmable gate arrays - FPGA '13, ACM Press, 2013.
, Hardware Acceleration of Short Read Mapping
FCCM 2012: The 20th Annual IEEE International Symposium on Field-Programmable Custom Computing Machines, 2012.
(Best Paper Award)
, Unsupervised pattern discovery in human chromatin structure through genomic segmentation
Nature Methods 9:5, 2012.
, http://www.nature.com/nmeth/journal/v9/n5/pdf/nmeth.1937.pdf PDF
http://www.nature.com/nmeth/journal/v9/n5/full/nmeth.1937.html HTML
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3340533/pdf/nihms360739.pdf Author Manuscript PDF
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3340533/ Author Manuscript HTML
http://www.ncbi.nlm.nih.gov/pubmed/22426492 PubMed
Direct maximization of protein identifications from tandem mass spectra.
Molecular & cellular proteomics : MCP 11:2, 2012.
, Faster Mass Spectrometry-based Protein Inference: Junction Trees are More Efficient than Sampling and Marginalization by Enumeration.
IEEE/ACM transactions on computational biology and bioinformatics / IEEE, ACM, 2012.
, Epigenetic priors for identifying active transcription factor binding sites.
Bioinformatics (Oxford, England) 28:1, 2012.
, Integrative annotation of chromatin elements from ENCODE data
Nucleic Acids Research In Press, 2012.
, De novo prediction of structured RNAs from genomic sequences.
Trends in biotechnology 28:1, 2010.
, Finding non-coding RNAs through genome-scale clustering.
Journal of bioinformatics and computational biology 7:2, 2009.
, MicroRNA discovery and profiling in human embryonic stem cells by deep sequencing of small RNA libraries.
Stem cells (Dayton, Ohio) 26:10, 2008.
, A widespread riboswitch candidate that controls bacterial genes involved in molybdenum cofactor and tungsten cofactor metabolism.
Molecular microbiology 68:4, 2008.
, Finding non-coding RNAs through genome-scale clustering
Sixth Asia-Pacific Bioinformatics Conference, 2008.
, A computational pipeline for high- throughput discovery of cis-regulatory noncoding RNA in prokaryotes.
PLoS computational biology 3:7, 2007.
, CMfinder--a covariance model based RNA motif finding algorithm.
Bioinformatics (Oxford, England) 22:4, 2006.
, Sequence-based heuristics for faster annotation of non-coding RNA families.
Bioinformatics (Oxford, England) 22:1, 2006.
, Bone morphogenetic protein 4: potential regulator of shear stress-induced graft neointimal atrophy.
Journal of vascular surgery : official publication, the Society for Vascular Surgery [and] International Society for Cardiovascular Surgery, North American Chapter 43:1, 2006.
, Exploiting conserved structure for faster annotation of non-coding RNAs without loss of accuracy.
Bioinformatics (Oxford, England) 20 Suppl 1, 2004.
, http://www.ncbi.nlm.nih.gov/pubmed/15262817?dopt=Abstract
http://bio.cs.washington.edu/supplements/zasha-ISMB-2004/ Supplementary Data
Atherosclerotic plaque smooth muscle cells have a distinct phenotype.
Arteriosclerosis, thrombosis, and vascular biology 24:7, 2004.
, Faster Genome Annotation of Non-coding RNA Families Without Loss of Accuracy
Eighth Annual International Conference on Research in Computational Molecular Biology, 2004.
, Improved gene selection for classification of microarrays.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2003.
, Pre-mRNA secondary structure prediction aids splice site prediction.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2002.
, Model-based clustering and data transformations for gene expression data.
Bioinformatics (Oxford, England) 17:10, 2001.
, Principal component analysis for clustering gene expression data.
Bioinformatics (Oxford, England) 17:9, 2001.
, Validating clustering for gene expression data.
Bioinformatics (Oxford, England) 17:4, 2001.
, Algorithms for a Simple Point Placement Problem
Algorithms and Complexity, 4th Italian Conference, 2000.
, A Linear Time Algorithm for Finding All Maximal Scoring Subsequences
Seventh International Conference on Intelligent Systems for Molecular Biology, 1999.
, A linear time algorithm for finding all maximal scoring subsequences.
Proceedings / ... International Conference on Intelligent Systems for Molecular Biology ; ISMB. International Conference on Intelligent Systems for Molecular Biology, 1999.
,