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bioinformatics

This class was created by Brainscape user Chantal Fifield. Visit their profile to learn more about the creator.

By: Chantal Fifield
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Decks in this class (20)

sequencing & assembly
Stages of genome sequencing 1,
Pac bio 2,
Phred scores 3
17  cards
sequence assembly
Read number 1,
Assembly algorithms 2,
Greedy approach phrap 3
19  cards
genome annotation
Annotation 1,
Process of annotation 2,
Simple metrics 3
10  cards
ab initio gene prediction
Bacteria vs eukaryotes 1,
Gene finding programs 2,
Prodigal 3
7  cards
analysis of gene expression
Focus on mrna 1,
Experimental considerations 2,
Microarrays process of image to n...
17  cards
analysis of gene expression 2
Identification of differentially ...,
Fold change 2,
Fold change advantages 3
12  cards
sequence alignment
Bioinformatics resources 1,
Protein evolution 2,
Alignment features 3
17  cards
database searching
Blast 1,
Search sensitivity 2,
Blast output 3
18  cards
protein feature analysis
Membrane proteins 1,
Transmembrane helices 2,
Methods to identify tm regions 3
10  cards
protein structure prediction
Motivation for structure predicti...,
Casp 2,
Ab initio energy calculations 3
23  cards
ab initio structure prediction
Ab initio methods 1,
Rosetta 2,
Rosetta identification of good tr...
11  cards
drug design
Drug discovery pipeline 1,
Hit 2,
Lead 3
17  cards
computer-aided drug design
Ligand based methods 1,
Qsar 2,
Use of qsar models 3
23  cards
machine learning
Machine learning 1,
Uses of machine learning 2,
Bayesian framework 3
21  cards
genome variation
Changes at the dna level 1,
Changes at the rna level 2,
Changes at protein level 3
25  cards
single cell transcriptomics
Heterogeneity in cell populations 1,
Limitations of bulk assays 2,
Process of sct 3
25  cards
phylogenetics
Phylogenetics 1,
Phylogenetic trees 2,
Distance 3
10  cards
prediction of protein function
Sequence similarity 1,
Msas 2,
Pml 3
13  cards
evolution of protein function
Sequence similarity networks 1,
Protein families 2,
M13 peptidases 3
14  cards
eukaryotic gene prediction
Position weight matrices 1,
Intron splice sites 2,
Hidden markov models 3
14  cards

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bioinformatics

  • Class purpose General learning

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