BMC favors source code plagiarism

I found source code plagiarism a year ago and reported this case to BMC Systems Biology:

I listed source code of many functions that are exactly copied from GOSemSim with only function name changed in my email. The detail of source code plagiarism can also be found at Proper use of GOSemSim.

I got reply from the Editor 3 days after (see screenshot).
Read more »

如何画类似MEME的注释序列


MEME是motif分析的webserver,所谓的注释序列就是一条线条上画一些长方形的box。
Read more »

use clusterProfiler as an universal enrichment analysis tool

clusterProfiler supports enrichment analysis of both hypergeometric test and gene set enrichment analysis. It internally supports Gene Ontology analysis of about 20 species, Kyoto Encyclopedia of Genes and Genomes (KEGG) with all species that have annotation available in KEGG database, DAVID annotation (only hypergeometric test supported), Disease Ontology and Network of Cancer Genes (via DOSE for human) and Reactome Pathway (via ReactomePA for several species). This is still not enough for users may want to analyze their data with unsupported organisms, slim version of GO, novel functional annotation (eg GO via blastgo and KEGG via KAAS), unsupported ontology/pathway or customized annotation.

clusterProfiler provides enricher function for hypergeometric test and GSEA function for gene set enrichment analysis that are designed to accept user defined annotation. They accept two additional parameters TERM2GENE and TERM2NAME. As indicated in the parameter names, TERM2GENE is a data.frame with first column of term ID and second column of corresponding mapped gene and TERM2NAME is a data.frame with first column of term ID and second column of corresponding term name. TERM2NAME is optional.
Read more »

using GOSemSim to rank proteins obtained by co-IP

Co-IP is usually used to identified interactions among specific proteins. It is widely used in detecting protein complex. Unfortunately, an identified protein may not be an interactor, and sometimes can be a background contaminant. Ranking proteins can help us to focus a study on a few high quality candidates for subsequent interaction investigation. My R package GOSemSim has been used in many studies to investigate protein protein interaction, see 1, 2, 3, 4 and more.

In the study, Proteomic investigation of the interactome of FMNL1 in hematopoietic cells unveils a role in calcium-dependent membrane plasticity, we investigate the interactors of FMNL1 by co-IP followed by LC-MS/MS analysis.

In this study, we defined functional similarity as the geometric mean of semantic similarities in molecular function and cellular component. Functional similarity is designed for measuring the strength of the relationship between each protein and its partners by considering function and location of proteins. The similarities were calculated through GOSemSim package. The distributions of the functional similarities were demonstrated in the following figure.

Read more »

[Bioc 3.1] NEWS of my BioC packages

GOSemSim

GOSemSim was first implemented in 2008 and published in Bioinformatics in 2010. It's now a mature package with no bugs found in the past half year. Only vignette and Information content data were updated.

clusterProfiler

clusterProfiler was developed in 2011 and published in OMICS in 2012.

I am very glad to find that clusterProfiler was presented in the book 'Bioinformatics with R Cookbook':

In this release, KEGG enrichment analysis (both hypergeometric and GSEA) now supports using latest online data and DAVID functional analysis is also supported. In addition, compareCluster function now supports formula interface like x ~ y + z; this feature was contributed by @dalloliogm.

Considering that many new users have problem of converting biological IDs, clusterProfiler contains a new function bitr, stands for Biological Id TranslatoR.
Read more »

Page 1 of 69 1 2 3 4 5 6 7 8 ...Last »