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GLIMMER
Cryptic Inoviruses Revealed As Pervasive in Bacteria and Archaea Across Earth’S Biomes
Microbial Gene Identification Using Interpolated Markov Models Steven L
Steven L. Salzberg
By Katherine E. L. Cox a Dissertation Submitted to Johns Hopkins University in Conformity with the Requirements for the Degree O
Improved Microbial Gene Identification with GLIMMER
The Effect of Machine Learning Algorithms on Metagenomics Gene
Genome Sequencing and Annotation
Gene Prediction with Glimmer for Metagenomic Sequences Augmented by Classification and Clustering
MCB 1200/1201, Virus Hunting
Machine Learning for Metagenomics: Methods and Tools
Glimmer-MG Release Notes Version 0.1
Information Theory, Graph Theory and Bayesian Statistics Based Improved and Robust Methods in Genome Assembly
Search for Novel Insecticidal Protein Genes in Genomic And
Using Comparative Genome Analysis to Identify Problems in Annotated Microbial Genomes
Prokaryotic Gene Prediction Tool Performance Is Highly Dependent on the Organism of Study
First High-Quality Reference Genome of Amphicarpaea Edgeworthii
Assembled Genomes from Metagenomic Sequencing Data
Utilizing Amino Acid Composition and Entropy of Potential Open Reading Frames to Identify Protein-Coding Genes
Top View
Assembly and Annotation
PHANOTATE: a Novel Approach to Gene Identification in Phage Genomes 4539
Glimmer Arthur L
R-FAP: Rapid Functional Annotation of Prokaryotes Using Taxon-Specific Pan- Genomes and 10-Mer Peptides
Coding Genes in Bacterial and Archaeal Genomes
Gene Tools Gene Prediction
Genomic Analysis of Highly Virulent Isolate of African Swine Fever Virus