Pinned Repositories
2020-ACM-TOS_ARES
ARES
ares
buranji
cdhit_for_ribocensus
CDHIT for RiboCensus
COLAS
COLAS This is the source repository for the algorithm source code of the COLAS project. This code base is used for implementing atomicity algorithms developed in the following papers. The tool is desgined to be deployed as a docker container, whihc can be deployed on AWS, OpenStack Cloud and a single stand-along machine. The code is written in C/C++ and GO. References: Kishori M Konwar, N. Prakash, Erez Kantor, Muriel Medard, Nancy Lynch, and Alexander A. Schwarzmann. Storage-Optimized Data-Atomic Algorithms for Handling Erasures and Errors in Distributed Storage Systems, In Proceedings of the 30th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2016), pp. 720-729 (2016). Kishori M Konwar, N. Prakash, Muriel Medard, Nancy Lynch. RADON: Reparable Atomic Data Objects in Networks, In Proceedings of the 20th International Conference on Principles of Distributed Systems (OPODIS 2016). pp. 28:1-28:17 (2016). Kishori M. Konwar, N. Prakash, Nancy Lynch and Muriel Medard. A Layered Architecture for Erasure-Coded Consistent Distributed Storage, In Proceedings of the Principles of Distributed Computing (PODC’17) (2017).
ecgroupcache
fastpro_single-cell-rna
Fast processing 3' Single-cell RNA pipeine
FuzzyClassifier
This code implements the fuzzy knowledge-based network based on the linguistic rules extracted from a fuzzy decision tree. A scheme for automatic linguistic discretization of continuous attributes, based on quantiles, is formulated. A novel concept for measuring the goodness of a decision tree, in terms of its compactness (size) and efficient performance, is introduced. Linguistic rules are quantitatively evaluated using new indices. The rules are mapped to a fuzzy knowledge-based network, incorporating the frequency of samples and depth of the attributes in the decision tree. New fuzziness measures, in terms of class memberships, are used at the node level of the tree to take care of overlapping classes.The effectiveness of the system, in terms of recognition scores, structure of decision tree, performance of rules, and network size, is extensively demonstrated on three sets of real-life data.
LuitPad
LuitPad is a stand-alone, fully Unicode compliant software designed for rapid typing of Assamese words and characters based on approximate phonetic. There are two main typing options; one which is based on approximate sound of words and the other based on the sound of characters, both of which are efficient and user-friendly, even for a first-time user.
Word_Prediction
Word prediction algorithm, for predicting a next word, libraries in C based on an weighted graph algorithm. This was used for a iPad app that helps children disability and/or autism to synthesize sentences though pictures and then finally generate the speech.
kishori82's Repositories
kishori82/LuitPad
LuitPad is a stand-alone, fully Unicode compliant software designed for rapid typing of Assamese words and characters based on approximate phonetic. There are two main typing options; one which is based on approximate sound of words and the other based on the sound of characters, both of which are efficient and user-friendly, even for a first-time user.
kishori82/buranji
kishori82/ecgroupcache
kishori82/fastpro_single-cell-rna
Fast processing 3' Single-cell RNA pipeine
kishori82/FuzzyClassifier
This code implements the fuzzy knowledge-based network based on the linguistic rules extracted from a fuzzy decision tree. A scheme for automatic linguistic discretization of continuous attributes, based on quantiles, is formulated. A novel concept for measuring the goodness of a decision tree, in terms of its compactness (size) and efficient performance, is introduced. Linguistic rules are quantitatively evaluated using new indices. The rules are mapped to a fuzzy knowledge-based network, incorporating the frequency of samples and depth of the attributes in the decision tree. New fuzziness measures, in terms of class memberships, are used at the node level of the tree to take care of overlapping classes.The effectiveness of the system, in terms of recognition scores, structure of decision tree, performance of rules, and network size, is extensively demonstrated on three sets of real-life data.
kishori82/2020-ACM-TOS_ARES
ARES
kishori82/ares
kishori82/concensus
A set of consensus algorithms in Go where we started from epaxos as the initial code base and modified
kishori82/DISC2020-SNOW-Revisited
kishori82/ec2pgdb
kishori82/jgi-download
kishori82/katomicity
This code implements katomicity and erasure code
kishori82/key-value-erasure-code
kishori82/kishori82.github.io
kishori82/Lacit
kishori82/metacount
kishori82/MetaPathways_Python.3.0
MetaPathways is a meta'omic analysis pipeline for the annotation and analysis for environmental sequence information. MetaPathways is a modular annotation and analysis pipeline that uses a user-friendly graphical user interface and knowledge engine data structure to predict metabolic interaction networks from environmental sequence information. Currently, MetaPathways supports genomic read quality control, open reading frame (ORF) prediction, ORF annotation, and environmental pathway-genomes database (ePGDB) construction compatible with the Pathway Tools browser by SRI.
kishori82/MetaPathways_rpkm
C++ implementation of reads per kilobase mapped statistic. Functional analysis of de novo assembled environmental sequence information is impeded by the lack of quantitative ORF annotations. ORF counts are affected by both sequencing depth and ORF length, longer ORFs naturally encompass more reads, making quantitative comparisons between samples difficult. To resolve this, we have implemented a bwa-based version of the RPKM. Intuitively RPKM is a simple proportion of the number of reads mapped to a sequence section, normalized for sequencing depth and ORF length. This tools is now a part of the MetaPathways pipeline.
kishori82/metataxa
kishori82/multi-seq
This project is under development
kishori82/NCA2020-OREAS-CassandrEAS
kishori82/optimusSteps
kishori82/PathwayPrediction
This repository implements a pathways prediction algorithm for metagenomic samples.
kishori82/pqs-mvp
kishori82/resume
kishori82/scellai
kishori82/SplitContig
kishori82/SRDS20-TREAS
kishori82/TaxonomicDistinctness
This is the C++ part of the taxonomic distinctness that are used in the R metataxa package
kishori82/testconsensus