Search Results for "es1-2016-leic1pl-81"
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Showing 14 open source projects for "es1-2016-leic1pl-81"
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1
GMOL
A tool for 3D genome structure visualization
... is supported by the National Science Foundation (grant no. DBI1149224). If you use GMOL in your research, please cite: Nowotny, Jackson, Avery Wells, Oluwatosin Oluwadare, Lingfei Xu, Renzhi Cao, Tuan Trieu, Chenfeng He, and Jianlin Cheng. "GMOL: an interactive tool for 3D genome structure visualization." Scientific reports 6 (2016): 20802. -
2
isiKnock
In silico knockouts for signaling pathways
Signaling pathways are complex and intertwined processes. The perturbation of biological systems can reveal the complicated interplay and dependencies of pathway components. isiKnock is a software to automatically conduct and visualize in silico knockouts for signaling pathways (Hannig et al. 2019). isiKnock predicts the knockout behavior based on the calculation of signal flows at steady state. For an explanation of the concept of in silico knockouts, we refer to Scheidel et al. 2016... -
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LMAP
Lightweight Multigene Analyses in PAML
Maldonado E, Almeida D, Escalona T, Khan I, Vasconcelos V and Antunes A (2016) LMAP: Lightweight Multigene Analyses in PAML. BMC Bioinformatics, 17:354. doi: https://doi.org/10.1186/s12859-016-1204-5 -
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Crosshub
Multi-way analysis of The Cancer Genome Atlas (TCGA) project datasets
.... For details, see the manual or article G.S. Krasnov et al. NAR 2016, Pubmed ID: 26773058 -
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detectMITE
Detection of Miniature Inverted Repeat Transposable Elements
detectMITE - a MATLAB-based tool for detecting miniature inverted repeat transposable elements (MITEs) in genomes. [1] Who are we? Please visit website: http://bioinfolab.miamioh.edu [2] How to cite detectMITE? Ye C, Ji G, Liang C (2016) detectMITE: A novel approach to detect miniature inverted repeat transposable elements in genomes. Sci. Rep. 6, 19688. http://www.nature.com/articles/srep19688 Ye C, Ji G, Li L, Liang C (2014) detectIR: A Novel Program for Detecting Perfect... -
6
ViralFusionSeq [VFS]
Accurately discover viral integration events and fusion transcripts
VFS was fullly tested under Ubuntu/Debian system. ** Announcement 1**: VFS is superior to Virus-Clip. https://sourceforge.net/projects/viralfusionseq/files/VFS.vs.Virus-Clip.pdf/download As of 2016, VFS is the only viral integration tool available at NIH HPC system. https://hpc.nih.gov/apps/ViralFusionSeq/ ViralFusionSeq (VFS) is a versatile high-throughput sequencing (HTS) tool for discovering viral integration events and reconstruct fusion transcripts at single-base resolution... -
7
EXCAVATOR2tool
Enhanced tool for detecting CNVs from whole-exome sequencing data
... (WES) data to identify CNVs. EXCAVATOR2 enhances the identification of all genomic CNVs, both overlapping and non-overlapping targeted exons by integrating the analysis of In-targets and Off- targets reads. EXCAVATOR2 can be effectively employed for the identification of CNVs in small as well as large-scale re-sequencing population and cancer studies. EXCAVATO2 paper: http://nar.oxfordjournals.org/content/early/2016/08/09/nar.gkw695.full?keytype=ref&ijkey=O8r64Qj81gfMzLo -
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MUMAL2
Multivariate analysis of MS/MS data using ML techniques
Program described in the paper: MUMAL2: Improving sensitivity in shotgun proteomics using cost sensitive artificial neural networks and a threshold selector algorithm, 2016. By Fabio R. Cerqueira; Adilson M. Ricardo; Alcione P. Oliveira; Armin Graber; Christian Baumgartner. -
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scFvMiner
Scripts for analysing NGS data
These scripts written in java can be used for deep sequencing analysis of the scFv antibodies from a synthetic antibody library and yields complete sequence information on the randomized areas of antibodies enriched from the library by phage display. The methods are descriped in Lövgen, J., Pursiheimo, J.P., Pyykkö, M., Salmi, J. & Lamminmäki, U. (2016) Next generation sequencing of all variable loops of synthetic single framework scFv – application in anti-HDL antibody selections. New... -
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10
Combenefit
Synergy analyses of drug and other other agent combinations
Combenefit software is a standalone application for Windows that performs surface analyses of drug and other agent combinations to identify synergy. Please cite as: "Di Veroli,G.Y. et al. (2016) Combenefit: an interactive platform for the analysis and visualization of drug combinations. Bioinformatics." (http://bioinformatics.oxfordjournals.org/content/early/2016/05/27/bioinformatics.btw230.abstract) Current version (2.021): https://sourceforge.net/projects/combenefit/files/Combenefit... -
11
riboshape
Predicting ribosome footprint profile shapes from transcript sequences
Riboshape is a suite of algorithms to predict ribosome footprint profile shapes from transcript sequences. It applies kernel smoothing to codon sequences to build predictive features, and uses these features to builds a sparse regression model to predict the ribosome footprint profile shapes. Reference: Liu, T.-Y. and Song, Y.S. Prediction of ribosome footprint profile shapes from transcript sequences. Proceedings of ISMB 2016, Bioinformatics, Vol. 32 No. 12 (2016) i183-i191. -
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PANorama2.0
PANorama: Panicle phenotyping for Oryza sativa
...://ricediversity.org, and within the corresponding publications and how-to videos: How to videos: http://vimeo.com/cornellricelab PANorama1.0 (Crowell et al. 2014): http://www.plantphysiol.org/content/165/2/479.short PANorama2.0 (Crowell et al. 2016): (http://goo.gl/vQux5Z) -
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... is a commandline program that can easily be used in pipelines. For more information check the README.md in the Files section. How to cite ADOMA: Zaal, D. and Nota, B. (2016), ADOMA: A Command Line Tool to Modify ClustalW Multiple Alignment Output. Mol. Inf., 35: 42–44. doi: 10.1002/minf.201500083 http://onlinelibrary.wiley.com/doi/10.1002/minf.201500083/abstract
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MutationFinder is a biomedical natural language processing (NLP) system for extracting mentions of point mutations from free text. MutationFinder achieves high performance (99% precision, 81% recall on blind test data) as an information extraction system
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