Tag: low quality

MetaClean 1.0.0 – Detection of Low-Quality Peaks in Untargeted Metabolomics Data

MetaClean 1.0.0

:: DESCRIPTION

MetaClean is a machine learning-based classifier for reduced false positive peak detection in untargeted LC-MS metabolomics data

::DEVELOPER

Jan Krumsiek lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows
  • R

:: DOWNLOAD

MetaClean

:: MORE INFORMATION

Citation

Chetnik K, Petrick L, Pandey G.
MetaClean: a machine learning-based classifier for reduced false positive peak detection in untargeted LC-MS metabolomics data.
Metabolomics. 2020 Oct 21;16(11):117. doi: 10.1007/s11306-020-01738-3. PMID: 33085002; PMCID: PMC7895495.

ANGLE – Predict Coding Sequences in low quality cDNA

ANGLE

:: DESCRIPTION

ANGLE (Anti Noise Gene Locator Engine) is a new program for predicting coding sequences in low quality cDNA. To achieve error-tolerant prediction, ANGLE uses a machine-learning approach, which makes better expression of coding sequence maximizing the use of limited information from input sequences.

::DEVELOPER

Kana Shimizu

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

ANGLE

:: MORE INFORMATION

Citation

Shimizu, K., Adachi, J., and Muraoka, Y. (2006)
ANGLE: a sequencing errors resistant program for predicting protein coding regions in unfinished cDNA.
J Bioinform Comput Biol 4, 649-664