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6-Metatranscriptomics
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One of the main issues in metatranscriptomics is
to obtain high-quality RNA for library preparation
recover full-length transcripts
ribosomal RNA removal
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What is one of the difficulties associated with analysis of replicates in gut samples?
Microbial communities have highly variable in composition among samples
Data normalization cannot be performed in metatranscriptomics
It is not relevant to perform biological or technical replicates in metatranscriptomics
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What is one of the limitations for rRNA subtraction during sample preparation?
The high quantity of rRNA makes difficult to completely remove it
Presence of secondary structures in rRNA makes difficult its removal from samples
The rRNA sequence of some species is unknown and it is difficult to design probes for an efficient subtraction
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How can you compensate for variation in species abundance in the comparison between samples?
Changes in abundance of each species can be compensated with genome-centric metagenomics
It is not needed to correct for changes in species abundance
Changes of species abundance is corrected during calculation of RPKM
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Is it possible in metatranscriptomics to analyze shotgun reads without performing assembly?
Yes using pipelines like HUMANN2
No, you must assemble the reads before analysing them
Yes using software like CENTRIFUGE or KRAKEN
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Statistical analysis and identification of differentially expressed genes can be performed using
RPKM calculation and analysis of log2 values between different samples
a t-test for each gene taking into account results for replicates
software like DESeq2 that model reads counts and dispersion with negative binomial distribution
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