Projects: pypi: EasyAlign
https://packages.ecosyste.ms/registries/pypi.org/packages/EasyAlign
Simple Python Implementation of the Smith-Waterman and Needleman-Wunsch Algorithms
1 version
Latest release: over 7 years ago
9 downloads last month
Enhanced Analysis
Educational Contributors:
jconley1@conncoll.edu
Repository Activity:
Repository Owner:
James Conley (user)
Data Scientist at SFL Scientific
Data Scientist at SFL Scientific
README Analysis:
Science Score: 95/100
Starting Score: 100 points
Bonuses:
-
+20
Educational commit emails
1 contributors with educational email addresses
Penalties:
-
-10
PyPI ecosystem
General-purpose ecosystem -
-15
No science keywords
No scientific terms found in keywords/classifiers
Very Likely Science (95)
Papers Mentioning EasyAlign 4
10.3758/s13428-020-01449-6
A tool for efficient and accurate segmentation of speech data: announcing POnSSCited by: 2
Author(s): Joe Rodd, Caitlin Decuyper, Hans R. Bosker, L.F.M. ten Bosch
Software Mentions: 5
Published: almost 6 years ago
10.3390/brainsci8020024
Consonant and Vowel Processing in Word Form Segmentation: An Infant ERP StudyCited by: 15
Author(s): Katie Von Holzen, Léo‐Lyuki Nishibayashi, Thierry Nazzi
Software Mentions: 3
Published: over 8 years ago
10.3389/fnhum.2015.00663
Moving to the Beat and Singing are Linked in HumansCited by: 15
Author(s): Simone Dalla Bella, Magdalena Berkowska, Jakub Sowiński
Software Mentions: 1
Published: over 10 years ago
10.3389/fpsyg.2020.01745
Coarticulatory Aspects of the Fluent Speech of French and Italian People Who Stutter Under Altered Auditory FeedbackCited by: 2
Author(s): Marine Verdurand, Solange Rossato, Claudio Zmarich
Software Mentions: 1
Published: almost 6 years ago