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Open AccessResearch article

MetaProm: a neural network based meta-predictor for alternative human promoter prediction

Junwen Wang1,2,3,4,5 email, Lyle H Ungar1,3 email, Hung Tseng6,7,8 email and Sridhar Hannenhalli1,2,3 email

Center for Bioinformatics, University of Pennsylvania, Philadelphia, PA 19104, USA

Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA

Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA 19104, USA

Core Genotyping Facility, Advanced Technology Program, SAIC-Frederick, Frederick, MD 21702, USA

Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, MD 20892, USA

Department of Dermatology, University of Pennsylvania, Philadelphia, PA 19104, USA

Cell and Developmental Biology, University of Pennsylvania, Philadelphia, PA 19104, USA

Center for Research on Reproduction and Women's Health, University of Pennsylvania, Philadelphia, PA 19104, USA

author email corresponding author email

BMC Genomics 2007, 8:374doi:10.1186/1471-2164-8-374

Published: 17 October 2007

Additional files

Additional file 1:

Distances between alternative TSSs within a sequence.

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Additional file 2:

Distance between Transcription Start Site (TSS) and CpG island (annotated in UCSC).

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Additional file 3:

Pairwise overlaps of correct predicted promoters between each PPP at high (50 bp) and low (2 kb) resolutions.

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Additional file 4:

Evaluation of MetaProm at high and low resolutions on genomewide promoter prediction.

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Additional file 5:

Features used for ANN based MetaProm promoter prediction.

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