Next generation sequencing
Our group is developing accurate and efficient algorithms and software tools to analyze next generation sequencing data and answer questions in biology and medicine.
Liliana Florea's Research Group @ Johns Hopkins University
About us
Our group is developing computational methods to model and solve problems in biology and medicine, fueled by the wealth of sequence data generated by new and evolving sequencing technologies. We design accurate and efficient algorithms and software tools to tackle current problems in genome assembly, gene and alternative splicing annotation, microRNA genomics and host-pathogen interaction, and apply them to characterize the genetic and genomic landscape of different cellular states and different organisms.
Recent News
- 7/2018 - Our new, highly efficient and scalable multi-sample transcript assembler PsiCLASS is now available (with Li Song and Sarven Sabunciyan)
- 1/2018 - A collaborative paper on differential alternative splicing in cancer (with Elana Fertig)
- 8/2017 - A collaborative study on germline mutations in lung adenocarcinoma (with Mary Armanios)
- 6/2017 - A webinar I gave in connection with the upcoming Next Generation Sequencing and Single Cell Sequencing USA Congress
- 4/2017 - Invited talk at the First Symposium on Translational Precision Oncology in Romania and an interview I gave to Radio Romania Cultural (in Romanian)
- 10/2016 - Our JULiP paper on intron selection from multiple RNA-seq samples won the Best Paper Award at the ICCABS 2016 conference (with Guangyu Yang)
- 9/2016 - Improving genome assembly with RNA-seq - our Rascaf paper appears in The Plant Genome (with Li Song and Dhruv Shankar)
- 6/2016 - Our CLASS2 software for transcript assembly and alternative splicing annotation from RNA-seq reads appears in NAR (with Li Song and Sarven Sabunciyan)