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Chimera Rafael A Closer, Matteo Carrera, Marco Because, Francesca Cordero December 2 20141IntroductionThe discovery of novel gene fusions can lead to a better comprehension of cancer progression and
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How to fill out state-of-form-art fusion-finder algorithms sensitivity

01
Understand the purpose of state-of-the-art fusion-finder algorithms sensitivity, which is to accurately detect gene fusions in genomic data.
02
Familiarize yourself with the specific fusion-finder algorithm you are using and its sensitivity parameters.
03
Gather the necessary input data, including the genomic data and any relevant annotations or reference sequences.
04
Preprocess the input data as required by the fusion-finder algorithm, such as removing low-quality reads or filtering out noise.
05
Configure the sensitivity parameters of the fusion-finder algorithm based on your specific analysis requirements and the expected characteristics of the gene fusions in your data.
06
Run the fusion-finder algorithm with the configured sensitivity parameters on the preprocessed input data.
07
Analyze the output of the fusion-finder algorithm, which may include detected fusion transcripts or breakpoints.
08
Evaluate the sensitivity of the fusion-finder algorithm by comparing its results to a gold standard or benchmark dataset, if available.
09
Fine-tune the sensitivity parameters of the fusion-finder algorithm if necessary to improve its performance in detecting true positive gene fusions.
10
Repeat the process as needed or depending on the nature of the analysis.

Who needs state-of-form-art fusion-finder algorithms sensitivity?

01
Researchers in the field of genomics who are studying gene fusions and their implications in diseases like cancer.
02
Scientists and bioinformaticians involved in genomic data analysis who want to accurately identify gene fusions in their datasets.
03
Diagnostic laboratories or medical professionals looking to detect gene fusions in patient samples for diagnostic or personalized treatment purposes.
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State-of-the-art fusion-finder algorithms sensitivity refers to the ability of these algorithms to accurately identify and report fusion events in genomic data, measured by metrics such as true positive rate and precision.
Researchers and institutions utilizing state-of-the-art fusion-finder algorithms in their genomic studies are typically required to report sensitivity metrics as part of their findings.
To fill out the sensitivity report, one should collect data on the number of true positive, false negative, and false positive results, then calculate sensitivity using the formula: Sensitivity = True Positives / (True Positives + False Negatives).
The purpose is to assess and communicate the performance of fusion-finder algorithms to ensure reliability and reproducibility in genomic research.
Key information includes the number of true positives, true negatives, false positives, false negatives, and calculated sensitivity metrics.
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