Abstract Background Analyzing files containing chemical information is at the core of cheminformatics. Each analysis may require a unique workflow. This paper describes the chemalot and chemalot_knime open source packages. Chemalot is a set of command line programs with a wide range of functionalities for cheminformatics. The chemalot_knime package allows command line programs that read and write SD files from stdin and to stdout to be wrapped into KNIME nodes. The combination of chemalot and chemalot_knime not only facilitates the compilation and maintenance of sequences of command line programs but also allows KNIME workflows to take advantage of the compute power of a LINUX cluster. Results Use of the command line programs is demonstrate...
Motivation: The development of chemoinformatics has been hampered by the lack of large, publicly ava...
Programs provided herein are a part of a freely available database of annotated compound data sets a...
Background Small molecules are of increasing interest for bioinformatics in areas such as metabolomi...
Background: Cheminformaticians have to routinely process and analyse libraries of small molecules. A...
Additional file 2. Contains the structures and data used to create and validate the solubility QSPR ...
ChemmineR is a cheminformatics package for analyzing drug-like small molecule data in R. Its latest ...
ChemmineR is a cheminformatics package for analyzing drug-like small molecule data in R. Its latest ...
Motivation: Advances in the field of cheminformatics have been hindered by a lack of freely availabl...
Cheminformatics has emerged as an applied branch of Chemistry that involves multidisciplinary knowle...
The enormous increase in the amount of publicly available chemical genomics data and the growing emp...
Chemoinformatics uses computational methods and technologies to solve chemical problems. It works on...
In this chapter, we present a brief description of compound datasets and programs developed to serve...
Motivation: The development of chemoinformatics has been hampered by the lack of large, publicly ava...
AbstractDiscovering drugs to a disease is still a challenging task for medical researchers due to th...
Chemoinformatics provides computer methods for learning from chemical data and for modeling tasks a ...
Motivation: The development of chemoinformatics has been hampered by the lack of large, publicly ava...
Programs provided herein are a part of a freely available database of annotated compound data sets a...
Background Small molecules are of increasing interest for bioinformatics in areas such as metabolomi...
Background: Cheminformaticians have to routinely process and analyse libraries of small molecules. A...
Additional file 2. Contains the structures and data used to create and validate the solubility QSPR ...
ChemmineR is a cheminformatics package for analyzing drug-like small molecule data in R. Its latest ...
ChemmineR is a cheminformatics package for analyzing drug-like small molecule data in R. Its latest ...
Motivation: Advances in the field of cheminformatics have been hindered by a lack of freely availabl...
Cheminformatics has emerged as an applied branch of Chemistry that involves multidisciplinary knowle...
The enormous increase in the amount of publicly available chemical genomics data and the growing emp...
Chemoinformatics uses computational methods and technologies to solve chemical problems. It works on...
In this chapter, we present a brief description of compound datasets and programs developed to serve...
Motivation: The development of chemoinformatics has been hampered by the lack of large, publicly ava...
AbstractDiscovering drugs to a disease is still a challenging task for medical researchers due to th...
Chemoinformatics provides computer methods for learning from chemical data and for modeling tasks a ...
Motivation: The development of chemoinformatics has been hampered by the lack of large, publicly ava...
Programs provided herein are a part of a freely available database of annotated compound data sets a...
Background Small molecules are of increasing interest for bioinformatics in areas such as metabolomi...