Questions tagged [benchmarking]

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Challenging benchmarks for supervised learning on sparse scRNA-seq data

One challenging aspect of modeling scRNA-seq data is data sparsity, that is, scRNA-seq measurements typically suffer from large fractions of observed zeros (i.e. dropouts), where a given gene in a ...
2
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1answer
38 views

Gold standard benchmark

This page is claimed to contain a gold standard benchmark for viral genome assembly. https://github.com/cbg-ethz/5-virus-mix The claim is here: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5411778/ &...
2
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1answer
82 views

efficient counting of dinucleotides/trinucleotides on fastq reads?

What's an efficient way of counting of dinucleotides/trinucleotide pattern on fastq.gz file reads? I know there are tools like seqtk that will be very efficient at reading through the .fastq.gz files,...
20
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8answers
8k views

What is the fastest way to get the reverse complement of a DNA sequence in python?

I am writing a python script that requires a reverse complement function to be called on DNA strings of length 1 through around length 30. Line profiling programs indicate that my functions spend a ...
10
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7answers
10k views

Fast way to count number of reads and number of bases in a fastq file?

I am looking for a tool, preferably written in C or C++, that can quickly and efficiently count the number of reads and the number of bases in a compressed fastq file. I am currently doing this using <...
19
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12answers
2k views

Random access on a FASTQ file

I would like to select a random record from a large set of n unaligned sequencing reads in log(n) time complexity (big O ...
12
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4answers
603 views

How do I efficiently subset a very large line-based file?

This has come up repeatedly recently: I have a very large text file (in the order of several GiB) and I need to perform line-based subsetting for around 10,000 lines. There exist solutions for ...
20
votes
10answers
4k views

What is the fastest way to calculate the number of unknown nucleotides in FASTA / FASTQ files?

I used to work with publicly available genomic references, where basic statistics are usually available and if they are not, you have to compute them only once so there is no reason to worry about ...