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

Papers: 10.1038/s41598-020-70131-w

https://doi.org/10.1038/s41598-020-70131-w

Transcriptomic profile of adverse neurodevelopmental outcomes after neonatal encephalopathy

Cited by: 6
Author(s): Paolo Montaldo, Aubrey J. Cunnington, Vânia Oliveira, Ravi Swamy, Prathik Bandya, Stuti Pant, Peter J Lally, Phoebe Ivain, Josephine Mendoza, Gaurav Atreja, Padmesh Vadakepat, Mythili Baburaj, Monica Sebastian, Indiramma Yasashwi, Chinnathambi Kamalarathnam, Rema Chandramohan, Mangalabharathi Sundaram, Kumutha Kumaraswami, Shobha Kumar, Naveen Benakappa, Swati Manerkar, Jayashree Mondhkar, Vinayagam Prakash, Mohammed Sajjid, Arasar Seeralar, Ismat Jahan, Sadeka Choudhury Moni, Mohammod Shahidullah, Radhika Sujatha, M Chandrasekaran, Siddarth Ramji, Seetha Shankaran, Myrsini Kaforou, Jethro Herberg, Sudhin Thayyil
Published: almost 5 years ago

Software Mentions 5

bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distribution
Papers that mentioned: 9,583
Very Likely Science (100)
cran: STAR
Spike Train Analysis with R
Papers that mentioned: 5,759
Very Likely Science (100)
pypi: cufflinks
Productivity Tools for Plotly + Pandas
Papers that mentioned: 415
Very Likely Science (100)
pypi: cutadapt
Adapter trimming and other preprocessing of high-throughput sequencing reads
Papers that mentioned: 1,562
Very Likely Science (100)
pypi: HTSeq
A framework to process and analyze data from high-throughput sequencing (HTS) assays
Papers that mentioned: 3,071
Very Likely Science (65)