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AB's Projects

ak-de-bigru icon ak-de-bigru

Improving Response Selection in Multi-turn Dialogue Systems by Incorporating Domain Knowledge

etal icon etal

Diablo2 Etal Repository

hpcleap_dnds icon hpcleap_dnds

Sliding window dN/dS vs. functional protein domain comparison tool. Given VectorBase gene id inputs it will aggregate various useful Bioinformatics information available, then allow the user to compare selective pressures acting along the protein sequence vs. an overlay of functional protein domain annotations.

hpcleap_md icon hpcleap_md

Molecular Dynamics simulation (HPC-LEAP workshop 1)

hpcleap_neuro icon hpcleap_neuro

Neuroscience practical excercises in HPC-LEAP Thematic workshop: Computational Biology

hpcleap_ppi icon hpcleap_ppi

Protein-protein interactions predicted between proteins of Anopheles gambiae, Plasmodium falciparum and between the proteins of the two species

hpcleap_swe-mpi icon hpcleap_swe-mpi

Tsunami simulations in 3D (with 2D visual output showing +1D via colour).

isatab-generators icon isatab-generators

parsers for third-party PopBio data to munge into ISA-Tab, original author Andrew Brockman

kaks_error_bars icon kaks_error_bars

A simple script and example data file to draw barplots of multiple protein's pairwise dN/dS values, with error bars!

learn_ml icon learn_ml

Templates and Examples of Machine Learning programs. Topics covered in README.

nonredcre_tested icon nonredcre_tested

Thoroughly tested prototype of multi-species, non-redundant, de novo CRE discovery pipeline. Publishable database and web-service in progress.

pycogent icon pycogent

PyCogent: Official repository for software and unit tests

splinterbotppi icon splinterbotppi

Scrapes iPfam and Uniprot for co-complex protein-protein interactions in Anopheles gambiae and Plasmodium falciparum.

t-sne_testing icon t-sne_testing

Testing dimensionality reduction techniques useful for VB Expression map, turning into a 1D indexable vector

textworld icon textworld

​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

vigilab_intergenesharegff icon vigilab_intergenesharegff

(1) Parse in a GFF file, (2) Filter only rows matching a specific type (e.g. transcript), (3) Then print a new GFF file whose "start" and "end" fields are expanded to include intergenic regions whose sharing distribution differs according to pairwise strand orientations: (i) 1/3:2/3 ratio for tail:head (+,+) strands, (ii) 2/3:1/3 for head:tail strands (-,-), and (iii) 1/2:1/2 for head:head (-,+) and tail:tail (+,-) strands

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