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An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1371/journal.pone.0126321

https://doi.org/10.1371/journal.pone.0126321

Leveraging the Power of High Performance Computing for Next Generation Sequencing Data Analysis: Tricks and Twists from a High Throughput Exome Workflow

Cited by: 36
Author(s): Amit Kawalia, Susanne Motameny, Stephan Wonczak, Holger Thiele, Lech Nieroda, Kamel Jabbari, Stefan Borowski, Vishal Sinha, Wilfried Gunia, Ulrich Lang, Viktor Achter, Peter Nürnberg
Published: about 10 years ago

Software Mentions 5

cran: ExomeDepth
Calls Copy Number Variants from Targeted Sequence Data
Papers that mentioned: 112
Very Likely Science (75)
cran: Platypus
Single-Cell Immune Repertoire and Gene Expression Analysis
Papers that mentioned: 218
Very Likely Science (85)
pypi: Allegro
A python backend integration framework
Papers that mentioned: 53
Very Likely Science (65)
pypi: cutadapt
Adapter trimming and other preprocessing of high-throughput sequencing reads
Papers that mentioned: 1,562
Very Likely Science (100)
pypi: Platypus
A minimal language
Papers that mentioned: 218
Very Likely Science (65)