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Sean Eddy
RDA COVID-19 Recommendations and Guidelines on Data Sharing
Downloaded Were Considered to Be True Positive While Those from the from UCSC Databases on 14Th September 2011 [70,71]
Biological Sequence Analysis Probabilistic Models of Proteins and Nucleic Acids
Genomic and Transcriptomic Surveys for the Study of Ncrnas with a Focus on Tropical Parasites
On the Necessity of Dissecting Sequence Similarity Scores Into
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Clawhmmer: a Streaming Hmmer-Search Implementation
HMMER User's Guide
Computational Identification of Functional RNA Homologs in Metagenomic Data
INFERNAL User's Guide
Reading Genomes Bit by Bit
The Janus-Faced E-Values of Hmmer2: Extreme Value Distribution Or Logistic Function?
Enhanced Protein Domain Discovery by Using Language Modeling Techniques from Speech Recognition
Bacterial Contribution to Genesis of the Novel Germ Line Determinant Oskar Leo Blondel1, Tamsin EM Jones2†, Cassandra G Extavour1,2*
A Probabilistic Model of Local Sequence Alignment That Simplifies Statistical Significance Estimation
Washington University Record, November 10, 2000
Fast, Sensitive Homology Detection Using HMMER
View of Genomics and Human Genetics 2007, 8:215-39
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Bioinformatics Explained: HMMER September 12, 2007
Using Deep Learning to Annotate the Protein Universe
HMMER User's Guide
ENSEMBL SPECIAL Downloaded from Genome.Cshlp.Org on September 30, 2021 - Published by Cold Spring Harbor Laboratory Press
RDA COVID-19 Recommendations and Guidelines on Data Sharing
What Is Pfam? Pfam Is a Database, of Conserved Protein Families Or Domains, Commonly Used for Proteome Annotation and Sequence Classification
Pssms and Hmms, Models That Improve Search Sensitivity and Phenotype Prediction
A Tool for Creating Informative, Interactive Logos
Latest Release of Uniprotkb
Probabilistic Walks with Graeme
Using Deep Learning to Annotate the Protein Universe
Rfam Documentation
Biological Sequence Analysis Probabilistic Models of Proteins and Nucleic Acids
HMMER User's Guide
Workshop Report: the Future of DNA Sequencing at the National Human
Interview with Ewan Birney
Studying RNA Homology and Conservation with Infernal: from Single Sequences to RNA Families
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Open-Source Software Accelerates Bioinformatics Comment John Quackenbush
Hidden Markov Models
Bioinformatics Applications of Hmms
Using Deep Learning to Annotate the Protein Universe
M21-550 Course Syllabus Summer 2018 (July 31-August 13)
Covariance Models and Infernal 1.1
HMMER User's Guide
Machine Learning in Bioinformatics (Fall 2018)
Hidden Markov Models
The Bermuda Triangle: the Pragmatics, Policies, and Principles for Data Sharing in the History of the Human Genome Project
Hidden Markov Models in Biological Sequence Analysis
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Chapter 4 an Introduction to Hidden Markov Models for Biological
INFERNAL User's Guide
Leadership and Ethics in Intercultural Organisations