Computational Analysis Tools

 

1

DNAshapeR
DNAshapeR is a software package implemented in the statistical programming language R that predicts DNA shape features in an ultra-fast, high-throughput manner from genomic sequencing data. The package takes either nucleotide sequence or genomic coordinates as input, and generates various graphical representations for visualization and further analysis. DNAshapeR further encodes DNA sequence and shape features as user-defined combinations of k-mer and DNA shape features. The resulting feature matrices can be readily used as input of various machine learning software packages for further modeling studies. 

Chiu et al. DNAshapeR: an R/Bioconductor package for DNA shape prediction and feature encoding.
Bioinformatics 32, 1211-1213 (2016)
Link to DNAshapeR software package link

2

GBshape
GBshape provides DNA shape annotations of entire genomes. The database currently contains annotations for minor groove width, roll, propeller twist, helix twist and hydroxyl radical cleavage for 98 different organisms. Additional genomes can easily be added in the provided framework. GBshape contains two major tools, a genome browser and a table browser. The genome browser provides a graphical representation of DNA shape annotations along standard genome browser annotations. 

Chiu et al. GBshape: a genome browser database for DNA shape annotations.
Nucleic Acids Res. 43, D103-109 (2015)
Link to GBshape database

3

TFBSshape
Our new TFBSshape database disentangles the complex relationships between DNA sequence, its 3D structure, and protein-DNA binding specificity. The TFBSshape database augments nucleotide sequence motifs with heat maps and quantitative predictions of DNA shape features for 739 TF datasets from 23 different species.

Yang et al. TFBSshape: a motif database for DNA shape features of transcription factor binding sites.
Nucleic Acids Res. 42, D148-155 (2014)
Link to TFBSshape database

4

DNAshape
We developed a new method for predicting DNA shape in a high-throughput manner on a genome-wide scale. This approach predicts structural features (several helical parameters and minor groove width) for the entire yeast genome in less than one minute on a regular laptop. The prediction can be visualized as genome browser tracks and compared to other properties of the genome such as sequence conservation.

Zhou et al. DNAshape: a method for the high-throughput prediction of DNA structural features on a genomic scale.
Nucleic Acids Res. 41, W56-62 (2013)
Link to DNAshape web server

 

          Additional Data

 

1

Download page

L. Yang et al. Transcription factor family-specific DNA shape readout revealed by quantitative specificity models.
Mol. Syst. Biol. in press (2017)
Supplementary Information

2

Download page

T. Zhou et al. Quantitative modeling of transcription factor binding specificities using DNA shape.
Proc. Natl. Acad. Sci. USA 112, 4654-4659 (2015)
Supplementary Information

3

Download page

N. Abe et al. Deconvolving the recognition of DNA sequence from shape.
Cell 161, 307-318 (2015)
Supplementary Information

February 6, 2017
Our new Mol. Syst. Biol. paper provides systematic analysis of DNA shape readout for many protein families. Congrats, Lin!

November 30, 2016
Our new Nature paper with the Leibniz Institute on Aging reveals role of Hoxa9 in muscle stem cell aging.

November 8, 2016
Our recent Dror et al. Genome Res. paper received a RECOMB/ISCB Top-10 Paper Award in regulatory and systems genomics in 2015/16.

August 31, 2016
Carolina defended her Ph.D. thesis with flying colors. Congratulations, Carolina!

August 18, 2016
Our new paper proves the impact of DNA shape on in vivo TF binding based on 400 human ChIP-seq datasets.

August 16, 2016
Remo was promoted to Full Professor of Biological Sciences at USC. Fight on!

July 14, 2016
Remo was elected Head of Computational Biology and Bioinformatics at USC. Fight on!

June 6, 2016
Lin defended his Ph.D. thesis with flying colors. Congratulations, Lin!

May 4, 2016
Tsu-Pei received a competitive Enhancement Fellowship from the USC Graduate School. Congratulations, Tsu-Pei!

May 3, 2016
Lin received the highest honor for a USC graduate student, the PhD Achievement Award. Congratulations, Lin!

May 3, 2016
Remo was introduced as the incoming Vice Chair of the Department of Biological Sciences and Director of Biological Sciences Studies.

April 20, 2016
Remo presented our recent Zhou et al. PNAS paper as one of the few selected Highlights at the recent RECOMB conference.

April 19, 2016
Carolina received the Harrison M. Kurtz Award and Tsu-Pei the William E. Trusten Award. Congrats, Carolina and Tsu-Pei!.

April 6, 2016
Remo received the USC Mentoring award in the category mentoring of graduate students. Best award ever!

March 16, 2016
Remo received the ACS OpenEye Outstanding Junior Faculty Award in Computational Chemistry at the American Chemical Society National Meeting.

January 28. 2016
Remo received Tenure at USC and was promoted to Associate Professor. Fight on!

November 18, 2015
Our recent Abe et al. Cell and Zhou et al. PNAS papers were voted as RECOMB/ISCB Top Papers in regulatory and systems genomics in 2014/15.

Recent news

August 21-25, 2016
Symposium on Modeling Water and Solvation in Biochemistry: Developments and Applications, American Chemical Society National Meeting, Philadelphia, PA

July 5-8, 2016
Meeting on Measuring and Modeling Quantitative Sequence-Function Relationships, Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, NY

April 17-21, 2016
RECOMB 2016 Conference, Santa Monica, CA

March 23, 2016
Leibniz Institute on Aging - Fritz Lipmann Institute, Jena, Germany

March 15-19, 2016
CSHL Meeting on Systems Biology: Global Regulation of Gene Expression, Cold Spring Harbor Laboratory, NY

March 7-10, 2016
Workshop on Regulatory Genomics and Epigenomics, Simons Institute for the Theory of Computing, UC Berkeley, Berkeley, CA

February 5-7, 2016
Bridge@USC and Michelson Center for Convergent Biosciences Retreat, Catalina Island, CA

January 31- February 5, 2016
Epigenomics 2016 Meeting, Rio Mar, Puerto Rico

January 19, 2016
Bioinformatics and Computational Biology Research Center, Cedars-Sinai Medical Center, Los Angeles, CA

Recent presentations

BISC 321 syllabus
Multidisciplinary Seminar: Science, Technology, and Society

BISC 577a syllabus
Computational Molecular Biology Laboratory