Projects: pypi: dis
https://packages.ecosyste.ms/registries/pypi.org/packages/dis
A simple test
2 versions
Latest release: over 8 years ago
2 dependent packages
284 downloads last month
Science Score: 65/100
Starting Score: 100 points
Penalties:
-
-10
PyPI ecosystem
General-purpose ecosystem -
-15
No science keywords
No scientific terms found in keywords/classifiers -
-10
No science terms in description
No scientific terms found in description
Very Likely Science (65)
Papers Mentioning dis 6
10.1038/s41598-017-11036-z
SRSF1 suppresses selection of intron-distal 5′ splice site of DOK7 intron 4 to generate functional full-length Dok-7 proteinCited by: 3
Author(s): Khalid Ahsan, Akio Matsubara, Mohammad Alinoor Rahman, Jun‐ichi Takeda, Mohammad Nazim, Bisei Ohkawara, Mikako Ito, Kinji Ohno
Software Mentions: 5
Published: almost 8 years ago
10.1038/s41598-017-14945-1
iDNAProt-ES: Identification of DNA-binding Proteins Using Evolutionary and Structural FeaturesCited by: 66
Author(s): Shahana Yasmin Chowdhury, Swakkhar Shatabda, Abdollah Dehzangi
Software Mentions: 5
Published: over 7 years ago
10.1186/s12880-019-0355-z
Computed tomography-based predictive nomogram for differentiating primary progressive pulmonary tuberculosis from community-acquired pneumonia in childrenCited by: 21
Author(s): Bei Wang, Min Li, He Ma, Fangfang Han, Yan Wang, Shunying Zhao, Zhimin Liu, Tao Yu, Jie Tian, Di Dong, Yun Peng
Software Mentions: 4
Published: almost 6 years ago
10.1186/s12859-019-2807-4
Resolving repeat families with long readsCited by: 10
Author(s): Philipp Bongartz
Software Mentions: 2
Published: about 6 years ago
10.1371/journal.pone.0106691
iDNA-Prot|dis: Identifying DNA-Binding Proteins by Incorporating Amino Acid Distance-Pairs and Reduced Alphabet Profile into the General Pseudo Amino Acid CompositionCited by: 231
Author(s): Bin Liu, Jinghao Xu, Xun Lan, Ruifeng Xu, Jiyun Zhou, Xiaolong Wang, Kuo‐Chen Chou
Software Mentions: 2
Published: almost 11 years ago
10.1371/journal.pone.0167345
DNABP: Identification of DNA-Binding Proteins Based on Feature Selection Using a Random Forest and Predicting Binding ResiduesCited by: 27
Author(s): Xin Ma, Jing Guo, Xiao Sun
Software Mentions: 1
Published: over 8 years ago