Siddharth Jain
Research Interests
Information and Coding Theory, Statistics, Combinatorics, Machine Learning, Signal Processing and Bioinformatics.
Current Research
Balanced Sequences
Many genomes including our own human genome share a property termed as 2nd Chargaff Rule. According to this rule the number of occurences of a kmer is almost equal to the number of occurences of it's reverse complement. For example, #A = #T, #C = #G, #AC = #GT and so on. This property is observed to hold upto a certain k known as KLimit which depends on the length of genome. For human genome, the KLimit is 10. In this project, we investigate models based on reversed tandem and interspered duplications for sequence generation that can give sequences satisfying the 2nd Chargaff Rule. We find fundamental limit onthe number of generations required to generate such balanced sequences for a given KLimit. We compare the sequences generated by these models with real genome sequences and find results that give valubale insights into the evolution of genomes.
Early prediction of cancer
We develop algorithms using ideas from information and coding theory an statistics to estimate duplication and mutation history in tandem repeat regions of DNA. Given large amount of DNA data for different individuals, we preprocess each individual's DNA data by extracting mutation rate, history and copy number as the features. We use these features to differentiate individuals from different populations, carrying diseases (such as different cancers) using tools from Machine Learning. The databases used here are 1000GenomeBrowser, The Cancer Genome Atlas (TCGA).
String Duplication Systems
Motivated by the phenomenon of tandem duplications observed in DNA, we investigate the diversity of sequences that can be generated by a series of tandem duplications applied on a seed. This diversity is characterized by mathematical measures of capacity and expressiveness. Given a sequence, we calculate upper and lower bounds on the number of steps required to reduce the sequence by omitting tandem repeats to its seed. We also develop algorithms that perform near optimal reduction.
Siddharth Jain, F. Farnoud, Jehoshua Bruck
Capacity and Expressiveness of Genomic Tandem Duplication [pdf] IEEE Transactions on Information Theory, vol 63, no. 10, pp. 61296138, October 2017. shorter version in Proceedings of 2015 IEEE International Symposium on Information Theory (ISIT), pp. 19461950, Hong Kong.

Noga Alon, Jehoshua Bruck, F. Farnoud, Siddharth Jain
Duplication Distance to the Root for Binary Sequences[pdf] IEEE Transactions on Information Theory, vol 63, no. 12, pp. 77937803, December 2017.

Noga Alon, Jehoshua Bruck, F. Farnoud, Siddharth Jain On the Duplication Distance of Binary Strings[pdf] in Proceedings of 2016 IEEE International Symposium on Information Theory (ISIT), pp. 260264 , Barcelona, Spain.
Codes for DNA Storage
Design error correcting codes for storage under duplication and substitution errors.

Siddharth Jain, F. Farnoud, M. Schwartz, Jehoshua Bruck
Noise and Uncertainty in StringDuplication Systems
in Proceedings of 2017 IEEE International Symposium on Information Theory (ISIT), pp. 31203124, Aachen, Germany.

Siddharth Jain, F. Farnoud, M. Schwartz, Jehoshua Bruck
DuplicationCorrecting Codes for Data Storage in the DNA of a Living Organism[pdf]
IEEE Transactions on Information Theory, vol 63, no. 8, pp. 49965010, August 2017. shorter version in Proceedings of 2016
IEEE International Symposium on Information Theory (ISIT), pp. 10281032, Barcelona, Spain.
Past Research
Match Lengths, Zero Entropy and Large Deviations
We investigate the match length expression in the context of Sliding Window LempelZiv Algorithm for zero entropy sequences. We also prove large deviation property for recurrence times and propose entropy estimator based on them under certain mixing conditions.
Siddharth Jain, R. K. Bansal
On Match Lengths, Zero Entropy and Large Deviations  with Application to Sliding Window LempelZiv Algorithm[Link][pdf]
IEEE Transactions on Information Theory, vol. 61, no. 1, pp. 120132, January 2015.
Siddharth Jain, R. K. Bansal
On Large Deviation Property of Recurrence Times[Link]
[pdf] Proceedings of IEEE Intenational Symposium on Information Theory (ISIT) 2013, pp. 28802884, Istanbul, Turkey.
Siddharth Jain, R. K. Bansal
On Match Lengths and Asymptotic Behavior of Sliding Window LempelZiv Algorithm for Zero Entropy Sequences[Link][pdf] Proceedings of IEEE International Syposium
on Information Theory (ISIT) 2013, pp. 28852889, Istanbul, Turkey.
Fractional Calculus based approaches in Control
We propose a fractal optimal controller for heart rate control through pacemaker. The dynamics of the the heart rate are modeled by fractional differential equation. We also use a similar approach to perform power management for multivoltage and frequency islands multiprocesser platforms.
Paul Bogdan, Siddharth Jain, Kartikeya Goyal, Radu Marculescu
Implantable Pacemakers Control and Optimization via Fractional Calculus Approach: A Cyber Physical Systems (CPS) Perspective[Link] [pdf]
International Conference on Cyber Physical Systems (ICCPS), pp. 2332, CPS Week 2012, Beijing, China.
Paul Bogdan, Siddharth Jain, Radu Marculescu
Pacemaker Control of Heart Rate Variability: A CPS Perspective[Link][pdf]
ACM Transactions on Embedded and Computing Systems (TECS), vol. 12, no. 1s, Article 50, March 2013.
Paul Bogdan, Radu Marculescu, Siddharth Jain
Dynamic Power Management for Multidomain Processor SystemsonChip Platforms: An Optimal Control Approach[Link][pdf]
ACM Transactions on Design Automation of Electronic Systems (TODAES), vol. 18, no. 4, Article 46, October 2013.
Paul Bogdan, Radu Marculescu, Siddharth Jain and Rafael Tornero Gavila,
An Optimal Control Approach to Power Management for MultiVoltage and Frequency Islands Multi Processor platforms under highly variable workloads[Best Paper Award][Link] [pdf]
International Syposium on NetworksOnChip (NOCS) 2012, pp. 3542, Lyngby, Denmark.
Talks

Decoding the Past.
Molecular Programming Project (MPP) Workshop, Boston, Massachusetts, December 911, 2016.

Biological Information Channel.
IPAM Computational Genomics Summer Institute (CGSI), UCLA, July 2016.

Duplication Correcting Codes for DNA Storage.
Molecular Programming Project (MPP) Workshop, Seattle, Washington, January 1518, 2016.
Posters

Siddharth Jain, F. Farnoud, M. Schwartz, Jehoshua Bruck
Capacity and Diversity of Tandem Duplication. Invited Poster in Molecular Programming Project (MPP) Workshop, San Francisco, California, January 911, 2015.
