VinaLigGen: a method to generate LigPlots and retrieval of hydrogen and hydrophobic interactions from protein-ligand complexes by Raghvendra Agrawal (17135479)

“…This paper describes an implementation of an automation technique on the executable programs like ligplot.exe, hbplus.exe and hbadd.exe to obtain the 2D interaction map (LigPlots) of the protein and ligand complex (*.ps) and hydrogen bonds and hydrophobic interactions in *.csv format for molecules to be considered for virtual screening by using some sorting & searching algorithms and python’s file handling functions, and it also mentions the program’s limitations and availability of the program. …”

Data_Sheet_1_MCIC: Automated Identification of Cellulases From Metagenomic Data and Characterization Based on Temperature and pH Dependence.docx by Mehdi Foroozandeh Shahraki (9555317)

“…MCIC is freely available as a python package and standalone toolkit for Windows and Linux-based operating systems with several functions to facilitate the screening and thermal and pH dependence prediction of cellulases.…”

Expression vs genomics for predicting dependencies by Broad DepMap (5514062)

“…If you are interested in trying machine learning, the files Features.hdf5 and Target.hdf5 contain the data munged in a convenient form for standard supervised machine learning algorithms.…”

A systems framework to study root growth under mineral limitation. by Nadia Bouain (5047583)

“…The GWAS candidate genes for a given RGR trait were used to identify a gene connected with one another, which form a molecular pathway, using a machine learning algorithms to infer co-functional links from genomics data, AraNetv2 [<a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1008392#pgen.1008392.ref054" target="_blank">54</a>].…”

Table_1_Machine learning-based solution reveals cuproptosis features in inflammatory bowel disease.xlsx by Le Liu (167133)

“…During the analysis, the PPI network was divided into three significant MCODEs using the Molecular Complex Detection (MCODE) algorithm. The three MCODEs containing four genes respectively were linked to mitochondrial metabolism, cell development, ion and amino acid transport. …”

Presentation_1_NeuroEditor: a tool to edit and visualize neuronal morphologies.pdf by Ivan Velasco (9463019)

“…Moreover, NeuroEditor can be easily extended by users, who can program their own algorithms in Python and run them within the tool. Last, this paper includes an example showing how users can easily define a customized workflow by applying a sequence of editing operations. …”

Image_2_The Bacteroidetes Aequorivita sp. and Kaistella jeonii Produce Promiscuous Esterases With PET-Hydrolyzing Activity.JPEG by Hongli Zhang (518920)

“…Here, we describe the first functional PET-active enzymes from the Bacteroidetes phylum. …”

Image1_Comprehensive Analysis of Potential ceRNA Network and Different Degrees of Immune Cell Infiltration in Acute Respiratory Distress Syndrome.pdf by Jiaxin Hu (1327875)

“…Then, a ceRNA network that contained 5 DElncRNAs, 7 DEmiRNAs, and 71 DEmRNAs was established according to the overlapping genes in both DEGs and predicted genes by public databases. …”

Image_4_The Bacteroidetes Aequorivita sp. and Kaistella jeonii Produce Promiscuous Esterases With PET-Hydrolyzing Activity.JPEG by Hongli Zhang (518920)

“…Here, we describe the first functional PET-active enzymes from the Bacteroidetes phylum. …”

Image_3_The Bacteroidetes Aequorivita sp. and Kaistella jeonii Produce Promiscuous Esterases With PET-Hydrolyzing Activity.JPEG by Hongli Zhang (518920)

“…Here, we describe the first functional PET-active enzymes from the Bacteroidetes phylum. …”

Data_Sheet_1_The Bacteroidetes Aequorivita sp. and Kaistella jeonii Produce Promiscuous Esterases With PET-Hydrolyzing Activity.PDF by Hongli Zhang (518920)

“…Here, we describe the first functional PET-active enzymes from the Bacteroidetes phylum. …”

Table1_Comprehensive Analysis of Potential ceRNA Network and Different Degrees of Immune Cell Infiltration in Acute Respiratory Distress Syndrome.xlsx by Jiaxin Hu (1327875)

“…Then, a ceRNA network that contained 5 DElncRNAs, 7 DEmiRNAs, and 71 DEmRNAs was established according to the overlapping genes in both DEGs and predicted genes by public databases. …”

Image_5_The Bacteroidetes Aequorivita sp. and Kaistella jeonii Produce Promiscuous Esterases With PET-Hydrolyzing Activity.JPEG by Hongli Zhang (518920)

“…Here, we describe the first functional PET-active enzymes from the Bacteroidetes phylum. …”

Image_1_The Bacteroidetes Aequorivita sp. and Kaistella jeonii Produce Promiscuous Esterases With PET-Hydrolyzing Activity.JPEG by Hongli Zhang (518920)

“…Here, we describe the first functional PET-active enzymes from the Bacteroidetes phylum. …”

Barro Colorado Island 50-ha plot aerial photogrammetry orthomosaics and digital surface models for 2018-2023: Globally and locally aligned time series. by Vicente Vasquez (13550731)

“…The local alignment algorithms at times produced distortions which have the potential to remove some of the signals of interest (e.g., obscuring tree crown growth or damage, as the edges of crowns are aligned across dates). …”

CMU SC and BOLD fMRI by Arian Ashourvan (6563300)

“…QA is an orientation distribution function (ODF) based index that is scaled with spin density information that permits the removal of isotropic diffusion components from the ODF to filter false peaks, facilitating the resolution of fiber tracts using deterministic fiber tracking algorithms. …”

GFast by Darin Tsui (19683292)

“…<p dir="ltr">These files contain data from the article "Efficient Algorithm for Sparse Fourier Transform of Generalized <i>q</i>-ary Functions" by Darin Tsui, Kunal Talreja, and Amirali Aghazadeh. …”

Image_2_Machine learning-based solution reveals cuproptosis features in inflammatory bowel disease.jpeg by Le Liu (167133)

“…During the analysis, the PPI network was divided into three significant MCODEs using the Molecular Complex Detection (MCODE) algorithm. The three MCODEs containing four genes respectively were linked to mitochondrial metabolism, cell development, ion and amino acid transport. …”

Image_3_Machine learning-based solution reveals cuproptosis features in inflammatory bowel disease.jpeg by Le Liu (167133)

“…During the analysis, the PPI network was divided into three significant MCODEs using the Molecular Complex Detection (MCODE) algorithm. The three MCODEs containing four genes respectively were linked to mitochondrial metabolism, cell development, ion and amino acid transport. …”

Image_1_Machine learning-based solution reveals cuproptosis features in inflammatory bowel disease.jpeg by Le Liu (167133)

“…During the analysis, the PPI network was divided into three significant MCODEs using the Molecular Complex Detection (MCODE) algorithm. The three MCODEs containing four genes respectively were linked to mitochondrial metabolism, cell development, ion and amino acid transport. …”