Genome Informatics 14: 452--453 (2003) Detection of Processed Pseudogenes Based on cDNA (2004)
Human Genome, Hiroaki Sakai, Kanako O. Koyanagi, Takeshi Itoh, Tadashi Imanishi, Takashi Gojobori
Introduction Processed pseudogenes are defined as those obtained by reverse transcription of messenger RNAs followed by reintegration into genomic DNA and subsequent degradation with disablements...
Human Genome, Zhaolei Zhang, Paul Harrison, Mark Gerstein
Mammals havo 79 ribosomal protoins (RP). Using a systomatic procoduro basod on soquonco homology soarch, wo havo comprohonsivoly idontifiod psoudogonos of thoso protoins in tho human gonomo. Our...
Fast and Sensitive Algorithm for Aligning ESTs (2002)
Human Genome, Jun Ogasawara, Shinichi Morishita
There is a pressing need to align growing set of expressed sequence tags (ESTs) to newly sequenced human genome. The problem is, however, complicated by the exon/intron structure of eucaryotic genes,...
Gene Discovery of G-Protein Coupled Receptors from Human Genome (2001)
Human Genome, Makiko Suwa, Toshiyuki Sato, Ikuo Okouchi, Masamitsu Mikoshiba, Yutaka Akiyama, ...
Introduction In this summer/2000,mom than 90%o humangenoG sequences had becoD availableto use, and this enco9DH/H researchersto challenge thedisco veryo no vel genesfro humangenovG Here, the moU...
Human Genome, Akihiko Konagaya
Introduction Thev ast increase of genomic sequence datarev eals the limitation of single computer systems in terms of both processing and storage capacity. The only realistic way to cope with this...
Human Genome Variation: Analysis, Management And Application Of SNP Data (1999)
Human Genome, Variation Analysis, Francisco M. De, La Vega, Martin Kreitman
this paper, a new allele frequency database accessible through the Internet is described. Emphasis is given to data quality and the needs of the population genetics community in this domain specific...
Martin G. Reese, Frank H. Eeckman, Human Genome, Informatics Group, David Kulp, David Haussler
We present an improved splice site predictor for the genefinding program Genie. Genie is based on a generalized Hidden Markov Model (GHMM) that describes the grammar of a legal parse of a multi-exon...
Martin G. Reese, Frank H. Eeckman, Human Genome, Informatics Group, David Kulp, David Haussler
We present an improved splice site predictor for the genefinding program Genie. Genie is based on a generalized Hidden Markov Model (GHMM) that describes the grammar of a legal parse of a multi-exon...
Martin G. Reese, Frank H. Eeckman, Human Genome, Informatics Group, David Kulp, David Haussler
We present an improved splice site predictor for the genefinding program Genie. Genie is based on a generalized Hidden Markov Model (GHMM) that describes the grammar of a legal parse of a multi-exon...
Improved Splice Site Detection in Genie (1997)
Martin G. Reese, Frank H. Eeckman, Human Genome, Informatics Group, David Kulp, David Haussler
We present an improved splice site predictor for the genefinding program Genie. Genie is based on a generalized Hidden Markov Model (GHMM) that describes the grammar of a legal parse of a multi-exon...
Improved Splice Site Detection in Genie (1997)
Martin G. Reese, Frank H. Eeckman, Human Genome, Informatics Group, David Kulp, David Haussler
We present an improved splice site predictor for the genefinding program Genie. Genie is based on a generalized Hidden Markov Model (GHMM) that describes the grammar of a legal parse of a multi-exon...
Improved Splice Site Detection in Genie (1997)
Martin G. Reese, Frank H. Eeckman, Human Genome, Informatics Group, David Kulp, David Haussler
We present an improved splice site predictor for the genefinding program Genie. Genie is based on a generalized Hidden Markov Model (GHMM) that describes the grammar of a legal parse of a multi-exon...
Improved Splice Site Detection in Genie (1997)
Martin G. Reese, Frank H. Eeckman, Human Genome, Informatics Group, David Kulp, David Haussler
We present an improved splice site predictor for the genefinding program Genie. Genie is based on a generalized Hidden Markov Model (GHMM) that describes the grammar of a legal parse of a multi-exon...
Improved Splice Site Detection in Genie (1997)
Martin G. Reese, Frank H. Eeckman, Human Genome, Informatics Group, David Kulp, David Haussler
We present an improved splice site predictor for the genefinding program Genie. Genie is based on a generalized Hidden Markov Model (GHMM) that describes the grammar of a legal parse of a multi-exon...
Novel Neural Network Prediction Systems for Human Promoters and Splice Sites (1996)
Martin G. Reese, Frank H. Eeckman, Human Genome, Informatics Group
We present a detailed theoretical study of the organization and structure of landmark sequences like promoters and splice junctions in Human DNA. An improved detection of these landmark sequences in...
Novel Neural Network Prediction Systems For Human Promoters And Splice Sites (1996)
Martin G. Reese, Frank H. Eeckman, Human Genome, Informatics Group
We present a detailed theoretical study of the organization and structure of landmark sequences like promoters and splice junctions in Human DNA. An improved detection of these landmark sequences in...
Novel Neural Network Prediction Systems For Human Promoters And Splice Sites (1996)
Martin G. Reese, Frank H. Eeckman, Human Genome, Informatics Group
We present a detailed theoretical study of the organization and structure of landmark sequences like promoters and splice junctions in Human DNA. An improved detection of these landmark sequences in...