Literature DB >> 26149235

FunRich proteomics software analysis, let the fun begin!

Alberto Benito-Martin1, Héctor Peinado1,2.   

Abstract

Protein MS analysis is the preferred method for unbiased protein identification. It is normally applied to a large number of both small-scale and high-throughput studies. However, user-friendly computational tools for protein analysis are still needed. In this issue, Mathivanan and colleagues (Proteomics 2015, 15, 2597-2601) report the development of FunRich software, an open-access software that facilitates the analysis of proteomics data, providing tools for functional enrichment and interaction network analysis of genes and proteins. FunRich is a reinterpretation of proteomic software, a standalone tool combining ease of use with customizable databases, free access, and graphical representations.
© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  Bioinformatics; Exosomes; Free access; FunRich; Software

Mesh:

Year:  2015        PMID: 26149235     DOI: 10.1002/pmic.201500260

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  27 in total

1.  Tumor-infiltrating neutrophils predict therapeutic benefit of tyrosine kinase inhibitors in metastatic renal cell carcinoma.

Authors:  Jiajun Wang; Li Liu; Qi Bai; Chenzhang Ou; Ying Xiong; Yang Qu; Zewei Wang; Yu Xia; Jianming Guo; Jiejie Xu
Journal:  Oncoimmunology       Date:  2018-10-02       Impact factor: 8.110

2.  Clinical value and potential pathways of miR-183-5p in bladder cancer: A study based on miRNA-seq data and bioinformatics analysis.

Authors:  Jia-Min Gao; Lin-Zhen Huang; Zhi-Guang Huang; Rong-Quan He
Journal:  Oncol Lett       Date:  2018-02-06       Impact factor: 2.967

3.  An optimized method for enrichment of whole brain-derived extracellular vesicles reveals insight into neurodegenerative processes in a mouse model of Alzheimer's disease.

Authors:  Stephanie N Hurwitz; Li Sun; Kalonji Y Cole; Charles R Ford; James M Olcese; David G Meckes
Journal:  J Neurosci Methods       Date:  2018-06-09       Impact factor: 2.390

Review 4.  Characterization of potential driver mutations involved in human breast cancer by computational approaches.

Authors:  Barani Kumar Rajendran; Chu-Xia Deng
Journal:  Oncotarget       Date:  2017-07-25

Review 5.  Circulating microRNAs and Bioinformatics Tools to Discover Novel Diagnostic Biomarkers of Pediatric Diseases.

Authors:  Antonella Baldassarre; Cristina Felli; Giorgio Prantera; Andrea Masotti
Journal:  Genes (Basel)       Date:  2017-09-19       Impact factor: 4.096

6.  A novel community driven software for functional enrichment analysis of extracellular vesicles data.

Authors:  Mohashin Pathan; Shivakumar Keerthikumar; David Chisanga; Riccardo Alessandro; Ching-Seng Ang; Philip Askenase; Arsen O Batagov; Alberto Benito-Martin; Giovanni Camussi; Aled Clayton; Federica Collino; Dolores Di Vizio; Juan Manuel Falcon-Perez; Pedro Fonseca; Pamali Fonseka; Simona Fontana; Yong Song Gho; An Hendrix; Esther Nolte-'t Hoen; Nunzio Iraci; Kenneth Kastaniegaard; Thomas Kislinger; Joanna Kowal; Igor V Kurochkin; Tommaso Leonardi; Yaxuan Liang; Alicia Llorente; Taral R Lunavat; Sayantan Maji; Francesca Monteleone; Anders Øverbye; Theocharis Panaretakis; Tushar Patel; Héctor Peinado; Stefano Pluchino; Simona Principe; Goran Ronquist; Felix Royo; Susmita Sahoo; Cristiana Spinelli; Allan Stensballe; Clotilde Théry; Martijn J C van Herwijnen; Marca Wauben; Joanne L Welton; Kening Zhao; Suresh Mathivanan
Journal:  J Extracell Vesicles       Date:  2017-05-26

7.  Feasibility of urinary extracellular vesicle proteome profiling using a robust and simple, clinically applicable isolation method.

Authors:  Irene V Bijnsdorp; Olga Maxouri; Aarzo Kardar; Tim Schelfhorst; Sander R Piersma; Thang V Pham; Andre Vis; R Jeroen van Moorselaar; Connie R Jimenez
Journal:  J Extracell Vesicles       Date:  2017-04-28

8.  Inflammation leads to distinct populations of extracellular vesicles from microglia.

Authors:  Yiyi Yang; Antonio Boza-Serrano; Christopher J R Dunning; Bettina Hjelm Clausen; Kate Lykke Lambertsen; Tomas Deierborg
Journal:  J Neuroinflammation       Date:  2018-05-28       Impact factor: 8.322

9.  Exploring microRNA target genes and identifying hub genes in bladder cancer based on bioinformatic analysis.

Authors:  Hongjian Wu; Wubing Jiang; Guanghua Ji; Rong Xu; Gaobo Zhou; Hongyuan Yu
Journal:  BMC Urol       Date:  2021-06-10       Impact factor: 2.264

10.  Nanoparticle analysis sheds budding insights into genetic drivers of extracellular vesicle biogenesis.

Authors:  Stephanie N Hurwitz; Meghan M Conlon; Mark A Rider; Naomi C Brownstein; David G Meckes
Journal:  J Extracell Vesicles       Date:  2016-07-13
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.