NTHRYS › Internships

Deep Learning Models for De Novo Functional Domain Discovery in Soil Microbiota Proteins

Agricultural Bioinformatics

Soil Microbiota Functional Annotation Study

Variant

Pay · Join

Step 4 of 5Select variant

Field

▾

Category

▾

Focused area

▾

You might prefer

Metagenomic Assembly and Taxonomic Classification of Unculturable Soil Bacteria Functional Gene Annotation and Metabolic Pathway Reconstruction in Soil Microbiomes Machine Learning Approaches for Predicting Microbial Gene Function and Activity Horizontal Gene Transfer Networks and Functional Redundancy in Soil Communities Metatranscriptomic Profiling of Active Soil Microbial Functions Under Variable Conditions Integrative Omics Analysis for Linking Soil Microbial Genotypes to Phenotypic Outputs Comparative Genomics for Identifying Conserved Functional Domains Across Soil Bacterial Taxa Metagenome-Assembled Genomes and Annotation of Novel Soil Microorganism Species Functional Annotation of Soil Viral Metagenomes and Host-Pathogen Interactions

Agricultural Bioinformatics › Soil Microbiota Functional Annotation Study

Deep Learning Models for De Novo Functional Domain Discovery in Soil Microbiota Proteins

This research applies advanced deep learning architectures to discover and characterize novel protein functional domains from unannotated soil microbiota sequences. The investigation expands the universe of known functional protein domains and produces automated annotation systems that improve prediction accuracy for soil microbial genes of unknown function.

Internship Types — tap to learn more

Mode — tap to learn more

Duration — tap to learn more

Select your preferenceChoose Type, Mode, Duration to view Titles

Internship Type

Mode

Duration

🎯

Choose your preferences above

Select Type, Mode and Duration to view available internship titles and fees.