FS
Professor Provart is very good and the labs taught us in simple and direct instructions how to perform a wide range of analysis regarding Plant Bioinformatics.
The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of "-seq"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply and in a high-throughput manner. These data sets in turn allow us to generate hypotheses at the click of a mouse. For instance, knowing where and when a gene is expressed can help us narrow down the phenotypic search space when we don't see a phenotype in a gene mutant under "normal" growth conditions. Coexpression analyses and association networks can provide high-quality candidate genes involved in a biological process of interest. Using Gene Ontology enrichment analysis and pathway visualization tools can help us make sense of our own 'omics experiments and answer the question "what processes/pathways are being perturbed in our mutant of interest?"
Structure: each of the 6 week hands-on modules consists of a ~2 minute intro, a ~20 minute theory mini-lecture, a 1.5 hour hands-on lab, an optional ~20 minute lab discussion if experiencing difficulties with lab, and a ~2 minute summary. Tools covered [Material updated in June 2025]: Module 1: GENOMIC DBs / PRECOMPUTED GENE TREES / PROTEIN TOOLS. Araport, TAIR, Gramene, EnsemblPlants Compara, PLAZA, SUBA5 and Cell eFP Browser, 1001 Genomes Browser, PlantConnectome Module 2: EXPRESSION TOOLS. eFP Browser / eFP-Seq Browser, Araport, ARDB, TravaDB, NCBI Genome Data Viewer for exploring RNA-seq data for many plant species, MPSS database for small RNAs, SCEA and Ecker Lab Seed-to-Seed scAtlas Module 3: COEXPRESSION TOOLS. ATTED II, Expression Angler, AraNet, AtCAST2 Module 4: PROMOTER ANALYSIS. Cistome, MEME, ePlant Module 5: GO ENRICHMENT ANALYSIS AND PATHWAY VIZUALIZATION. AgriGO, AmiGO, Classification SuperViewer, TAIR, g:profiler, AraCyc, MapMan (optional: Plant Reactome) Module 6: NETWORK EXPLORATION. Arabidopsis Interactions Viewer 2, ePlant, TF2Network, Virtual Plant, GeneMANIA
FS
Professor Provart is very good and the labs taught us in simple and direct instructions how to perform a wide range of analysis regarding Plant Bioinformatics.
HD
I am able to learn the different tools in transcritpom analysis. I become familair with the next generation sequencing technologies too.
AK
Overall the course is good. However, lecture should be more in detail.
SB
Very helpful to understand the different tools of bioinformatics
DD
Very nice and informative course. I would love to interact with you personally and learn more.
SS
That was so insightful and learning course about plants bioinformatic out of basic methods.Also help in working project to give meaningful answers with validation
LS
I am new in this skills. I am excited because I completed this course. I have new experiences. Thank you. I recommend this course for learn plant bioinformatic.
KK
An informative course. I gathered practical knowledge about Plant bioinformatic tools and their applications.
NF
a good course to get you familiar with important signalling pathways
RI
I really enjoyed the course. Got teary eyed after finishing the course. I really put my extra time in this course and I learned so much. Thank you
JF
Thank you very much Dr. Provart for a wonderful lectures and lab experiments!
QR
Very good course for mastering bioinformatics skills. Genetics and molecular biology students/professionals should take this course to augment their research skills.