We start the new year with a bang, or at least a new paper published. Bioinformatics put our paper (1) describing the software package CAFE online today (although it was accepted late last year). The CAFE package is a combination of Perl and R tools that can analyze data from paired transposon mutant sequencing experiments (2-4), generate fitness coefficients for each gene and condition, and perform appropriate statistical testing on these fitness coefficients. The paper is short, but shows that CAFE performs as good as the best competing tools (5-7) while being superior at controlling for false positives (you’ll have to dig into the supplement to find the data for that though).
Importantly, this is a collaborative effort by basically the entire research group from last spring: me, Haveela, Emil, Anna and our visiting student Adriana. A big thanks to all of you for working on this short but important paper! You can read the full paper here.
- Abramova A, Osińska A, Kunche H, Burman E, Bengtsson-Palme J (2021) CAFE: A software suite for analysis of paired-sample transposon insertion sequencing data. Bioinformatics, advance article doi: 10.1093/bioinformatics/btaa1086
- Chao,M.C. et al. (2016) The design and analysis of transposon insertion sequencing experiments. Nature reviews Microbiology, 14, 119–128.
- van Opijnen,T. and Camilli,A. (2013) Transposon insertion sequencing: a new tool for systems-level analysis of microorganisms. Nature reviews Microbiology, 11, 435–442.
- Goodman,A.L. et al. (2011) Identifying microbial fitness determinants by insertion sequencing using genome-wide transposon mutant libraries. Nature Protocols, 6, 1969–1980.
- McCoy,K.M. et al. (2017) MAGenTA: a Galaxy implemented tool for complete Tn- Seq analysis and data visualization. Bioinformatics, 33, 2781– 2783.
- Zhao,L. et al. (2017) TnseqDiff: identification of conditionally essential genes in transposon sequencing studies. BMC Bioinformatics, 18.
- Zomer,A. et al. (2012) ESSENTIALS: Software for Rapid Analysis of High Throughput Transposon Insertion Sequencing Data. PLoS ONE, 7, e43012.
The shift to October marked the last days that our visiting doctoral student Adriana Osińska spent in the lab. Adriana was working on the sequencing data generated from the invasion experiments I performed in Jo Handelsman’s lab. She managed to dig out a great number of genes that seems to have an influence on bacterial community invasion success. Those genes are now candidate genes that will be tested in follow-up studies, which brings us to….
That I forgot to introduce our newest lab member – Emil Burman! Emil is a master student performing his thesis project in the lab and will stay with us until May 2020. Emil will work on experimentally characterizing the candidate genes that Adriana has identified. We are excited to have Emil in the lab and think that he has been off to a great start already. Welcome Emil!
Adriana will no go back to Poland to complete here PhD thesis early next year. We have loved to have her in the lab and she has contributed with data and analyses of tremendous value. We wish her all the best of luck with defending her thesis!