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Python Source Code - 2.5 KB - MD5: a8eea82d056ac0b2ca2107d88793531a
Plain Text - 7.0 KB - MD5: e255242cab30415c4110759f71c152c0
Jan 14, 2025
Leiwig, Maximilian; Swierzy, Ben; Bungartz, Christian; Meier, Michael, 2024, "Replication data for "Analyzing the Potency of Pretrained Transformer Models for Automated Program Repair"", https://doi.org/10.60507/FK2/O54LWP, bonndata, V2
This repository contains replication data for the paper "Analyzing the Potency of Pretrained Transformer Models for Automated Program Repair". The dataset contains commits that indicate a bug fix from 200 repositories on Github. Scripts for fetching data associated with the commi...
Markdown Text - 1.9 KB - MD5: bd4306963175ff314ccc46d7601a2b35
Jan 6, 2025
Uebermuth-Feldhaus, Carolin, 2025, "Supplementary Data to the study on Candidate gene prediction for drought adaptation in Brassicaceae species", https://doi.org/10.60507/FK2/JBUJFW, bonndata, V1
Contains the raw results of the gene family prediction and their differential expression under drought in the Brassicaceae species Eutrema salsugineum, Arabidopsis lyrata, Arabidopsis thaliana and Brassica napus, including phylogenetic trees for expanded gene families. It contain...
R Data - 33.9 MB - MD5: 3a29b566ffce91f612dced974bdaa404
the raw results from the A2TEA.Workflow
Tab-Separated Values - 3.2 MB - MD5: 27c6d37ef69ee2fe52977db8117f02d2
a table of all conserved gene families and the respective genes of the four species
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