maSigPro
maSigPro is an R package for the analysis of transcriptomic time series data. The method is adapted to all transcriptomic technologies including microarrays, RNA-seq and single-cell trajectory analysis. It also allows for analysis of time series differential isoform expression.
Basic Information
| Repository | |
| Documentation | |
| Main publication (DOI) |
10.1093/bioinformatics/btl056
view 10.1093/bioinformatics/btu333 view 10.1093/bioinformatics/btx578 view 10.1093/bioinformatics/btae443 view |
| Contact email | ana.conesa@csic.es |
| Authors/Maintainers | Ana Conesa |
| Type of application | R/python package |
| Programming languages | R |
| Keywords | Omics, Resources, Transcriptomics, RNA Sequencing (RNA-seq), Data Analysis, Bioinformatics Software and Tools, Analysis packages (R, Python, etc.), Expression Profiling, Statistical Methods for Biology, Frequentist analysis, Experimental design, Single-cell (scRNA-seq) |
Technical details
| Input file formats | |
| Output file formats | |
| Software compatibility | Linux, Mac, Windows |
| Hardware requirements | |
| Type of containerization | Conda |
| Wrapper type | |
| Compatible tools | |
| Funding resource | |
| Funding support |
Statistics
| Unique users (last 12 months) | 2000 |
| Unique users (since first release) | 6000 |
| Software downloads (last 12 months) | 6300 |
| Software downloads (since first release) | 80000 |
| Jobs submitted (last 12 months) | |
| Jobs submitted (since first release) | |
| Repository clones (last 12 months) | 2500 |
| Repository clones (since first release) | 40000 |
| Citations (last 12 months) | <100 (~28 as of 15/10/2026) |
| Citations (since first release) | 800 |
| Early-stage researcher effort (development) | 0 |
| Early-stage researcher effort (maintenance) | 0 |
| Technician-supported effort (development) | 0 |
| Technician-supported effort (maintenance) | 0 |
| Other effort (development) | 0 |
| Other effort (maintenance) | 0 |
| Total effort (development) | 0 |
| Total effort (maintenance) | 0 |
