Integrating new fungal computational sequence data analysis into KBase’s capabilities


A science focus area (SFA) is a research project funded by the Department of Energy (DOE) to further scientific advancement and support the DOE’s Office of Science mission. The LANL Bacterial-Fungal Interactions SFA driven by Patrick Chain at Los Alamos National Laboratory (LANL) aims to address some of the knowledge gaps around bacterial-fungal interactions within the soil. The researchers are using a multi-omics approach to gain a predictive understanding of the bacterial-fungal interactions. This work will shed light on how microbial interactions in soil affect ecosystem services such as plant productivity, nutrient cycling, and carbon flux.

Collaborative Development Object

New modules for data analysis:

  • Bulk retrieval of fungal sequencing data, from raw data to draft contigs to finished genomes
  • Enhanced metagenomic data analytics
  • Determination of unique genomic signatures at each taxonomic rank for fungal genomes
  • Specific detection of microbial species based on unique fungal signatures

New tool:

  • GOTTCHA (Genomic Origin Through Taxonomic Challenge): this App will use a novel taxonomic profiling method for metagenomes that is both gene-independent and signature-based. It significantly reduces false discovery rates (FDR).

Additional Information

Meet the Members

SFA Manager/PI for LANL: Patrick Chain1
SFA Contact: Patrick Chain1
KBase Contact: Paramvir Dehal5,6
Lead Developers: Mark Flynn1 and Chien-Chi Lo1
Participating Scientists: David Bruce1, Jean Challcombe1, James Werner1, Armand Dichosa1, Po-E Li1, Migun Shakya1, Geoffrey House1, Jamey Young2, Pilar Junier3, Debora Rodrigues4
Affiliations: 1Los Alamos National Laboratory, 2Vanderbilt University, 3University of Neuchâtel, Switzerland, 4University of Houston, 5Lawrence Berkeley National Laboratory, 6KBase