Gill Bejerano

Orcid: 0000-0001-5179-3635

Affiliations:
  • Stanford University, USA


According to our database1, Gill Bejerano authored at least 26 papers between 1999 and 2022.

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Bibliography

2022
WhichTF is functionally important in your open chromatin data?
PLoS Comput. Biol., 2022

2021
Avoiding genetic racial profiling in criminal DNA profile databases.
Nat. Comput. Sci., 2021

2019
Darwin: A Genomics Coprocessor.
IEEE Micro, 2019

Darwin: A Genomics Co-processor Provides up to 15, 000X Acceleration on Long Read Assembly.
Proceedings of the 2019 USENIX Annual Technical Conference, 2019

Darwin-WGA: A Co-processor Provides Increased Sensitivity in Whole Genome Alignments with High Speedup.
Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture, 2019

2016
Erosion of Conserved Binding Sites in Personal Genomes Points to Medical Histories.
PLoS Comput. Biol., 2016

2014
Automated Discovery of Tissue-Targeting Enhancers and Transcription Factors from Binding Motif and Gene Function Data.
PLoS Comput. Biol., 2014

2007
The UCSC genome browser database: update 2007.
Nucleic Acids Res., 2007

2006
Identification and Classification of Conserved RNA Secondary Structures in the Human Genome.
PLoS Comput. Biol., 2006

The UCSC Genome Browser Database: update 2006.
Nucleic Acids Res., 2006

Branch and bound computation of exact <i>p</i>-values.
Bioinform., 2006

2004
Efficient Exact p-Value Computation for Small Sample, Sparse, and Surprising Categorical Data.
J. Comput. Biol., 2004

Algorithms for variable length Markov chain modeling.
Bioinform., 2004

Into the heart of darkness: large-scale clustering of human non-coding DNA.
Proceedings of the Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology 2004, 2004

2003
Automata learning and stocahstic modeling for biosequence analysis (למידת אוטומטים ומידול סטוכסטי לצרכי ניתוח רצפי מולקולות ביולוגיות.).
PhD thesis, 2003

Discriminative Feature Selection via Multiclass Variable Memory Markov Model.
EURASIP J. Adv. Signal Process., 2003

Using Machine-Learning Methods for Musical Style Modeling.
Computer, 2003

Efficient exact value computation and applications to biosequence analysis.
Proceedings of the Sventh Annual International Conference on Computational Biology, 2003

2001
PromEC: An updated database of Escherichia coli mRNA promoters with experimentally identified transcriptional start sites.
Nucleic Acids Res., 2001

Variations on probabilistic suffix trees: statistical modeling and prediction of protein families.
Bioinform., 2001

Markovian domain fingerprinting: statistical segmentation of protein sequences.
Bioinform., 2001

A Simple Hyper-Geometric Approach for Discovering Putative Transcription Factor Binding Sites.
Proceedings of the Algorithms in Bioinformatics, First International Workshop, 2001

Unsupervised Sequence Segmentation by a Mixture of Switching Variable Memory Markov Sources.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

Automatic Modeling of Musical Style.
Proceedings of the 2001 International Computer Music Conference, 2001

2000
Optimal Amnesic Probabilistic Automata or How to Learn and Classify Proteins in Linear Time and Space.
J. Comput. Biol., 2000

1999
Modeling protein families using probabilistic suffix trees.
Proceedings of the Third Annual International Conference on Research in Computational Molecular Biology, 1999


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