TumorHPD – Designing of Tumor Homing Peptides

TumorHPD

:: DESCRIPTION

TumorHPD is a web server for predicting and designing tumor homing peptides. This server is extremely useful for the researchers working in the field of therapeutic peptides.

::DEVELOPER

TumorHPD team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Computational approach for designing tumor homing peptides.
Sharma A, Kapoor P, Gautam A, Chaudhary K, Kumar R, Chauhan JS, Tyagi A, Raghava GP.
Sci Rep. 2013;3:1607. doi: 10.1038/srep01607.

BubbleTree 2.14.0 – CNV Analysis in groups of Tumor Samples

BubbleTree 2.14.0

:: DESCRIPTION

BubbleTree is a framework to characterize the tumor clonality using next generation sequencing (NGS) data.

::DEVELOPER

Wei Zhu <zhuw at medimmune.com>, Michael Kuziora <kuzioram at medimmune.com>, Todd Creasy <creasyt at medimmune.com>, Brandon Higgs <higgsb at medimmune.com>

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux/ MacOsX
  • R/BioConductor

:: DOWNLOAD

 BubbleTree

:: MORE INFORMATION

Citation

BubbleTree: an intuitive visualization to elucidate tumoral aneuploidy and clonality using next generation sequencing data.
Zhu W, Kuziora M, Creasy T, Lai Z, Morehouse C, Guo X, Sebastian Y, Shen D, Huang J, Dry JR, Xue F, Jiang L, Yao Y, Higgs BW.
Nucleic Acids Res. 2015 Nov 17. pii: gkv1102

contamDE 1.0 – Differential Expression analysis of RNA-seq data for Contaminated Tumor Samples

contamDE 1.0

:: DESCRIPTION

The R package ‘contamDE’ conducts differential expression (DE) analysis using high throughput next-generation RNA-seq read count data generated from contaminated tumor samples that are either matched or unmatched with normal samples, which estimates the proportion of pure tumor cells in each contaminated tumor sample, and provides tumor vs.

::DEVELOPER

Hong Zhang

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows/ MacOsX
  • R

:: DOWNLOAD

contamDE

:: MORE INFORMATION

Citation

contamDE: Differential expression analysis of RNA-seq data for contaminated tumor samples.
Shen Q, Hu J, Jiang N, Hu X, Luo Z, Zhang H.
Bioinformatics. 2015 Nov 9. pii: btv657.

A program suite for Filtering False Somatic Mutations from FFPE Tumor Sequencing data

Filtering False Somatic Mutations from FFPE Tumor Sequencing data

:: DESCRIPTION

This program suite consists of 4 PERL programs made to identify and remove potential false positive somatic variants caused by FFPE (formalin-fixed paraffin-embedded) DNA damage on next-generation sequencing data.

::DEVELOPER

the Division of Genome Information Sciences, UCSD

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/ WIndows/ MacOsX
  • Perl

:: DOWNLOAD

 program suite

:: MORE INFORMATION

Citation

Nucleic Acids Res. 2012 Aug;40(14):e107. Epub 2012 Apr 6.
Identification of high-confidence somatic mutations in whole genome sequence of formalin-fixed breast cancer specimens.
Yost SE, Smith EN, Schwab RB, Bao L, Jung H, Wang X, Voest E, Pierce JP, Messer K, Parker BA, Harismendy O, Frazer KA.

DiNAMIC – Identify recurrent DNA copy number Aberrations in Tumors

DiNAMIC

:: DESCRIPTION

DiNAMIC (Discovering Copy Number Aberrations Manifested In Cancer) is a novel method for assessing the statistical significance of recurrent copy number aberrations. In contrast to competing procedures, the testing procedure underlying DiNAMIC is carefully motivated, and employs a novel cyclic permutation scheme. Extensive simulation studies show that DiNAMIC controls false positive discoveries in a variety of realistic scenarios.

::DEVELOPER

V. Walter, A.B. Nobel, and F.A. Wright

:: SCREENSHOTS

N/A

::REQUIREMENTS

:: DOWNLOAD

 DiNAMIC

:: MORE INFORMATION

Citation

V. Walter, A.B. Nobel, and F.A. Wright
DiNAMIC: a method to identify recurrent DNA copy number aberrations in tumors
Bioinformatics (2011) 27 (5): 678-685.

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